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mirror of https://github.com/opencv/opencv.git synced 2026-07-31 00:03:03 +04:00

Merge branch 4.x

This commit is contained in:
Alexander Smorkalov
2025-04-28 22:13:51 +03:00
243 changed files with 12965 additions and 3216 deletions
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# Gedit temp files
*~
# Qt Creator file
*.user
# MacOS-specific (Desktop Services Store)
.DS_Store
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cmake_minimum_required(VERSION ${MIN_VER_CMAKE} FATAL_ERROR)
project(Carotene)
set(CAROTENE_NS "carotene" CACHE STRING "Namespace for Carotene definitions")
set(CAROTENE_INCLUDE_DIR include)
set(CAROTENE_SOURCE_DIR src)
file(GLOB_RECURSE carotene_headers RELATIVE "${CMAKE_CURRENT_LIST_DIR}" "${CAROTENE_INCLUDE_DIR}/*.hpp")
file(GLOB_RECURSE carotene_sources RELATIVE "${CMAKE_CURRENT_LIST_DIR}" "${CAROTENE_SOURCE_DIR}/*.cpp"
"${CAROTENE_SOURCE_DIR}/*.hpp")
include_directories(${CAROTENE_INCLUDE_DIR})
if(CMAKE_COMPILER_IS_GNUCC)
set(CMAKE_CXX_FLAGS "-fvisibility=hidden ${CMAKE_CXX_FLAGS}")
# allow more inlines - these parameters improve performance for:
# - matchTemplate about 5-10%
# - goodFeaturesToTrack 10-20%
# - cornerHarris 30% for some cases
if(CMAKE_CXX_COMPILER_VERSION VERSION_LESS "10.0.0")
set_source_files_properties(${carotene_sources} COMPILE_FLAGS "--param ipcp-unit-growth=100000 --param inline-unit-growth=100000 --param large-stack-frame-growth=5000")
else()
set_source_files_properties(${carotene_sources} COMPILE_FLAGS "--param ipa-cp-unit-growth=100000 --param inline-unit-growth=100000 --param large-stack-frame-growth=5000")
endif()
endif()
if(APPLE AND CV_CLANG AND WITH_NEON)
ocv_warnings_disable(CMAKE_CXX_FLAGS -Wno-unused-function)
endif()
add_library(carotene_objs OBJECT EXCLUDE_FROM_ALL
${carotene_headers}
${carotene_sources}
)
if(NOT CAROTENE_NS STREQUAL "carotene")
target_compile_definitions(carotene_objs PUBLIC "-DCAROTENE_NS=${CAROTENE_NS}")
endif()
if(WITH_NEON)
target_compile_definitions(carotene_objs PRIVATE "-DWITH_NEON")
endif()
if(MINGW)
target_compile_definitions(carotene_objs PRIVATE "-D_USE_MATH_DEFINES=1")
endif()
# we add dummy file to fix XCode build
add_library(carotene STATIC ${OPENCV_3RDPARTY_EXCLUDE_FROM_ALL} "$<TARGET_OBJECTS:carotene_objs>" "${CAROTENE_SOURCE_DIR}/dummy.cpp")
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This is Carotene, a low-level library containing optimized CPU routines
that are useful for computer vision algorithms.
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cmake_minimum_required(VERSION ${MIN_VER_CMAKE} FATAL_ERROR)
include(CheckCCompilerFlag)
include(CheckCXXCompilerFlag)
set(TEGRA_HAL_DIR "${CMAKE_CURRENT_SOURCE_DIR}")
set(CAROTENE_DIR "${TEGRA_HAL_DIR}/../")
if(CMAKE_SYSTEM_PROCESSOR MATCHES "^(arm.*|ARM.*)")
set(ARM TRUE)
elseif (CMAKE_SYSTEM_PROCESSOR MATCHES "aarch64.*|AARCH64.*")
set(AARCH64 TRUE)
endif()
ocv_warnings_disable(CMAKE_CXX_FLAGS -Wunused-function)
set(TEGRA_COMPILER_FLAGS "")
if(CV_GCC OR CV_CLANG)
# Generate unwind information even for functions that can't throw/propagate exceptions.
# This lets debuggers and such get non-broken backtraces for such functions, even without debugging symbols.
list(APPEND TEGRA_COMPILER_FLAGS -funwind-tables)
endif()
if(CV_GCC OR CV_CLANG)
if(X86 OR ARMEABI_V6 OR (MIPS AND ANDROID_COMPILER_VERSION VERSION_LESS "4.6"))
list(APPEND TEGRA_COMPILER_FLAGS -fweb -fwrapv -frename-registers -fsched-stalled-insns-dep=100 -fsched-stalled-insns=2)
elseif(CV_CLANG)
list(APPEND TEGRA_COMPILER_FLAGS -fwrapv)
else()
list(APPEND TEGRA_COMPILER_FLAGS -fweb -fwrapv -frename-registers -fsched2-use-superblocks -fsched2-use-traces
-fsched-stalled-insns-dep=100 -fsched-stalled-insns=2)
endif()
if((ANDROID_COMPILER_IS_CLANG OR NOT ANDROID_COMPILER_VERSION VERSION_LESS "4.7") AND ANDROID_NDK_RELEASE STRGREATER "r8d" )
list(APPEND TEGRA_COMPILER_FLAGS -fgraphite -fgraphite-identity -floop-block -floop-flatten -floop-interchange
-floop-strip-mine -floop-parallelize-all -ftree-loop-linear)
endif()
endif()
string(REPLACE ";" " " TEGRA_COMPILER_FLAGS "${TEGRA_COMPILER_FLAGS}")
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} ${TEGRA_COMPILER_FLAGS}")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${TEGRA_COMPILER_FLAGS}")
if(ARMEABI_V7A)
if(CV_GCC OR CV_CLANG)
set( CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fno-tree-vectorize" )
set( CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -fno-tree-vectorize" )
endif()
endif()
if(WITH_LOGS)
add_definitions(-DHAVE_LOGS)
endif()
set(CAROTENE_NS "carotene_o4t" CACHE STRING "" FORCE)
function(compile_carotene)
if(";${CPU_BASELINE_FINAL};" MATCHES ";NEON;")
set(WITH_NEON ON)
endif()
add_subdirectory("${CAROTENE_DIR}" "${CMAKE_CURRENT_BINARY_DIR}/carotene")
endfunction()
compile_carotene()
include_directories("${CAROTENE_DIR}/include")
get_target_property(carotene_defs carotene_objs INTERFACE_COMPILE_DEFINITIONS)
set_property(DIRECTORY APPEND PROPERTY COMPILE_DEFINITIONS ${carotene_defs})
if(CV_GCC)
# allow more inlines - these parameters improve performance for:
# matchTemplate about 5-10%
# goodFeaturesToTrack 10-20%
# cornerHarris 30% for some cases
if(CMAKE_CXX_COMPILER_VERSION VERSION_LESS "10.0.0")
set_source_files_properties(impl.cpp $<TARGET_OBJECTS:carotene_objs> COMPILE_FLAGS "--param ipcp-unit-growth=100000 --param inline-unit-growth=100000 --param large-stack-frame-growth=5000")
else()
set_source_files_properties(impl.cpp $<TARGET_OBJECTS:carotene_objs> COMPILE_FLAGS "--param ipa-cp-unit-growth=100000 --param inline-unit-growth=100000 --param large-stack-frame-growth=5000")
endif()
# set_source_files_properties(impl.cpp $<TARGET_OBJECTS:carotene_objs> COMPILE_FLAGS "--param ipcp-unit-growth=100000 --param inline-unit-growth=100000 --param large-stack-frame-growth=5000")
endif()
# we add dummy file to fix XCode build
add_library(tegra_hal STATIC $<TARGET_OBJECTS:carotene_objs> "dummy.cpp")
set_target_properties(tegra_hal PROPERTIES ARCHIVE_OUTPUT_DIRECTORY ${3P_LIBRARY_OUTPUT_PATH})
set(OPENCV_SRC_DIR "${CMAKE_SOURCE_DIR}")
if(NOT BUILD_SHARED_LIBS)
ocv_install_target(tegra_hal EXPORT OpenCVModules ARCHIVE DESTINATION ${OPENCV_3P_LIB_INSTALL_PATH} COMPONENT dev)
endif()
target_include_directories(tegra_hal PRIVATE ${CMAKE_CURRENT_SOURCE_DIR} ${OPENCV_SRC_DIR}/modules/core/include)
set(CAROTENE_HAL_VERSION "0.0.1" PARENT_SCOPE)
set(CAROTENE_HAL_LIBRARIES "tegra_hal" PARENT_SCOPE)
set(CAROTENE_HAL_HEADERS "carotene/tegra_hal.hpp" PARENT_SCOPE)
set(CAROTENE_HAL_INCLUDE_DIRS "${CMAKE_BINARY_DIR}" PARENT_SCOPE)
configure_file("tegra_hal.hpp" "${CMAKE_BINARY_DIR}/carotene/tegra_hal.hpp" COPYONLY)
configure_file("${CAROTENE_DIR}/include/carotene/definitions.hpp" "${CMAKE_BINARY_DIR}/carotene/definitions.hpp" COPYONLY)
configure_file("${CAROTENE_DIR}/include/carotene/functions.hpp" "${CMAKE_BINARY_DIR}/carotene/functions.hpp" COPYONLY)
configure_file("${CAROTENE_DIR}/include/carotene/types.hpp" "${CMAKE_BINARY_DIR}/carotene/types.hpp" COPYONLY)
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// This file is needed for compilation on some platforms e.g. with XCode generator
// Related issue: https://gitlab.kitware.com/cmake/cmake/-/issues/17457
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/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2015, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#ifndef CAROTENE_DEFINITIONS_HPP
#define CAROTENE_DEFINITIONS_HPP
#ifndef CAROTENE_NS
#define CAROTENE_NS carotene
#endif
#endif
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/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2014-2015, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#ifndef CAROTENE_TYPES_HPP
#define CAROTENE_TYPES_HPP
#include <carotene/definitions.hpp>
#include <stdint.h>
#include <cstddef>
#ifndef UINT32_MAX
#define UINT32_MAX (4294967295U)
#endif
namespace CAROTENE_NS {
using std::size_t;
using std::ptrdiff_t;
typedef int8_t s8;
typedef uint8_t u8;
typedef int16_t s16;
typedef uint16_t u16;
typedef int32_t s32;
typedef uint32_t u32;
typedef float f32;
typedef int64_t s64;
typedef uint64_t u64;
typedef double f64;
typedef ptrdiff_t stride_t;
enum CONVERT_POLICY
{
CONVERT_POLICY_WRAP,
CONVERT_POLICY_SATURATE
};
enum BORDER_MODE
{
BORDER_MODE_UNDEFINED,
BORDER_MODE_CONSTANT,
BORDER_MODE_REPLICATE,
BORDER_MODE_REFLECT,
BORDER_MODE_REFLECT101,
BORDER_MODE_WRAP
};
enum FLIP_MODE
{
FLIP_HORIZONTAL_MODE = 1,
FLIP_VERTICAL_MODE = 2,
FLIP_BOTH_MODE = FLIP_HORIZONTAL_MODE | FLIP_VERTICAL_MODE
};
enum COLOR_SPACE
{
COLOR_SPACE_BT601,
COLOR_SPACE_BT709
};
struct Size2D {
Size2D() : width(0), height(0) {}
Size2D(size_t width_, size_t height_) : width(width_), height(height_) {}
size_t width;
size_t height;
inline size_t total() const
{
return width * height;
}
};
struct Margin {
Margin() : left(0), right(0), top(0), bottom(0) {}
Margin(size_t left_, size_t right_, size_t top_, size_t bottom_)
: left(left_), right(right_), top(top_), bottom(bottom_) {}
// these are measured in elements
size_t left, right, top, bottom;
};
struct KeypointStore {
virtual void push(f32 kpX, f32 kpY, f32 kpSize, f32 kpAngle=-1, f32 kpResponse=0, s32 kpOctave=0, s32 kpClass_id=-1) = 0;
virtual ~KeypointStore() {};
};
}
#endif
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/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2014-2015, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#include <algorithm>
#include "common.hpp"
#include "vtransform.hpp"
namespace CAROTENE_NS {
#ifdef CAROTENE_NEON
namespace {
template <typename T>
struct AbsDiff
{
typedef T type;
void operator() (const typename internal::VecTraits<T>::vec128 & v_src0,
const typename internal::VecTraits<T>::vec128 & v_src1,
typename internal::VecTraits<T>::vec128 & v_dst) const
{
v_dst = internal::vabdq(v_src0, v_src1);
}
void operator() (const typename internal::VecTraits<T>::vec64 & v_src0,
const typename internal::VecTraits<T>::vec64 & v_src1,
typename internal::VecTraits<T>::vec64 & v_dst) const
{
v_dst = internal::vabd(v_src0, v_src1);
}
void operator() (const T * src0, const T * src1, T * dst) const
{
dst[0] = src0[0] >= src1[0] ? src0[0] - src1[0] : src1[0] - src0[0];
}
};
template <typename T>
struct AbsDiffSigned
{
typedef T type;
void operator() (const typename internal::VecTraits<T>::vec128 & v_src0,
const typename internal::VecTraits<T>::vec128 & v_src1,
typename internal::VecTraits<T>::vec128 & v_dst) const
{
typename internal::VecTraits<T>::vec128 v_min = internal::vminq(v_src0, v_src1);
typename internal::VecTraits<T>::vec128 v_max = internal::vmaxq(v_src0, v_src1);
v_dst = internal::vqsubq(v_max, v_min);
}
void operator() (const typename internal::VecTraits<T>::vec64 & v_src0,
const typename internal::VecTraits<T>::vec64 & v_src1,
typename internal::VecTraits<T>::vec64 & v_dst) const
{
typename internal::VecTraits<T>::vec64 v_min = internal::vmin(v_src0, v_src1);
typename internal::VecTraits<T>::vec64 v_max = internal::vmax(v_src0, v_src1);
v_dst = internal::vqsub(v_max, v_min);
}
void operator() (const T * src0, const T * src1, T * dst) const
{
dst[0] = internal::saturate_cast<T>(src0[0] >= src1[0] ? (s64)src0[0] - src1[0] : (s64)src1[0] - src0[0]);
}
};
} // namespace
#endif
void absDiff(const Size2D &size,
const u8 *src0Base, ptrdiff_t src0Stride,
const u8 *src1Base, ptrdiff_t src1Stride,
u8 *dstBase, ptrdiff_t dstStride)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
internal::vtransform(size,
src0Base, src0Stride,
src1Base, src1Stride,
dstBase, dstStride, AbsDiff<u8>());
#else
(void)size;
(void)src0Base;
(void)src0Stride;
(void)src1Base;
(void)src1Stride;
(void)dstBase;
(void)dstStride;
#endif
}
void absDiff(const Size2D &size,
const u16 *src0Base, ptrdiff_t src0Stride,
const u16 *src1Base, ptrdiff_t src1Stride,
u16 *dstBase, ptrdiff_t dstStride)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
internal::vtransform(size,
src0Base, src0Stride,
src1Base, src1Stride,
dstBase, dstStride, AbsDiff<u16>());
#else
(void)size;
(void)src0Base;
(void)src0Stride;
(void)src1Base;
(void)src1Stride;
(void)dstBase;
(void)dstStride;
#endif
}
void absDiff(const Size2D &size,
const s8 *src0Base, ptrdiff_t src0Stride,
const s8 *src1Base, ptrdiff_t src1Stride,
s8 *dstBase, ptrdiff_t dstStride)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
internal::vtransform(size,
src0Base, src0Stride,
src1Base, src1Stride,
dstBase, dstStride, AbsDiffSigned<s8>());
#else
(void)size;
(void)src0Base;
(void)src0Stride;
(void)src1Base;
(void)src1Stride;
(void)dstBase;
(void)dstStride;
#endif
}
void absDiff(const Size2D &size,
const s16 *src0Base, ptrdiff_t src0Stride,
const s16 *src1Base, ptrdiff_t src1Stride,
s16 *dstBase, ptrdiff_t dstStride)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
internal::vtransform(size,
src0Base, src0Stride,
src1Base, src1Stride,
dstBase, dstStride, AbsDiffSigned<s16>());
#else
(void)size;
(void)src0Base;
(void)src0Stride;
(void)src1Base;
(void)src1Stride;
(void)dstBase;
(void)dstStride;
#endif
}
void absDiff(const Size2D &size,
const s32 *src0Base, ptrdiff_t src0Stride,
const s32 *src1Base, ptrdiff_t src1Stride,
s32 *dstBase, ptrdiff_t dstStride)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
internal::vtransform(size,
src0Base, src0Stride,
src1Base, src1Stride,
dstBase, dstStride, AbsDiffSigned<s32>());
#else
(void)size;
(void)src0Base;
(void)src0Stride;
(void)src1Base;
(void)src1Stride;
(void)dstBase;
(void)dstStride;
#endif
}
void absDiff(const Size2D &size,
const f32 * src0Base, ptrdiff_t src0Stride,
const f32 * src1Base, ptrdiff_t src1Stride,
f32 * dstBase, ptrdiff_t dstStride)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
internal::vtransform(size,
src0Base, src0Stride,
src1Base, src1Stride,
dstBase, dstStride, AbsDiff<f32>());
#else
(void)size;
(void)src0Base;
(void)src0Stride;
(void)src1Base;
(void)src1Stride;
(void)dstBase;
(void)dstStride;
#endif
}
} // namespace CAROTENE_NS
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/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2014, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#include "common.hpp"
#include "vtransform.hpp"
#include <cstring>
namespace CAROTENE_NS {
void accumulate(const Size2D &size,
const u8 *srcBase, ptrdiff_t srcStride,
s16 *dstBase, ptrdiff_t dstStride)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
size_t roiw16 = size.width >= 15 ? size.width - 15 : 0;
size_t roiw8 = size.width >= 7 ? size.width - 7 : 0;
for (size_t i = 0; i < size.height; ++i)
{
const u8* src = internal::getRowPtr(srcBase, srcStride, i);
s16* dst = internal::getRowPtr(dstBase, dstStride, i);
size_t j = 0;
for (; j < roiw16; j += 16)
{
internal::prefetch(src + j);
internal::prefetch(dst + j);
uint8x16_t v_src = vld1q_u8(src + j);
int16x8_t v_dst0 = vld1q_s16(dst + j);
int16x8_t v_dst1 = vld1q_s16(dst + j + 8);
int16x8_t v_src0 = vreinterpretq_s16_u16(vmovl_u8(vget_low_u8(v_src)));
int16x8_t v_src1 = vreinterpretq_s16_u16(vmovl_u8(vget_high_u8(v_src)));
v_dst0 = vqaddq_s16(v_dst0, v_src0);
v_dst1 = vqaddq_s16(v_dst1, v_src1);
vst1q_s16(dst + j, v_dst0);
vst1q_s16(dst + j + 8, v_dst1);
}
for (; j < roiw8; j += 8)
{
uint8x8_t v_src = vld1_u8(src + j);
int16x8_t v_src16 = vreinterpretq_s16_u16(vmovl_u8(v_src));
int16x8_t v_dst = vld1q_s16(dst + j);
v_dst = vqaddq_s16(v_dst, v_src16);
vst1q_s16(dst + j, v_dst);
}
for (; j < size.width; j++)
dst[j] = internal::saturate_cast<s16>(src[j] + dst[j]);
}
#else
(void)size;
(void)srcBase;
(void)srcStride;
(void)dstBase;
(void)dstStride;
#endif
}
#ifdef CAROTENE_NEON
namespace {
template <int shift>
void accumulateSquareConst(const Size2D &size,
const u8 *srcBase, ptrdiff_t srcStride,
s16 *dstBase, ptrdiff_t dstStride)
{
size_t roiw16 = size.width >= 15 ? size.width - 15 : 0;
size_t roiw8 = size.width >= 7 ? size.width - 7 : 0;
for (size_t i = 0; i < size.height; ++i)
{
const u8* src = internal::getRowPtr(srcBase, srcStride, i);
s16* dst = internal::getRowPtr(dstBase, dstStride, i);
size_t j = 0;
for (; j < roiw16; j += 16)
{
internal::prefetch(src + j);
internal::prefetch(dst + j);
uint8x16_t v_src = vld1q_u8(src + j);
int16x8_t v_dst0 = vld1q_s16(dst + j), v_dst1 = vld1q_s16(dst + j + 8);
int16x8_t v_src0 = vreinterpretq_s16_u16(vmovl_u8(vget_low_u8(v_src)));
int16x8_t v_src1 = vreinterpretq_s16_u16(vmovl_u8(vget_high_u8(v_src)));
int16x4_t v_srclo = vget_low_s16(v_src0), v_srchi = vget_high_s16(v_src0);
v_dst0 = vcombine_s16(vqmovn_s32(vaddw_s16(vshrq_n_s32(vmull_s16(v_srclo, v_srclo), shift), vget_low_s16(v_dst0))),
vqmovn_s32(vaddw_s16(vshrq_n_s32(vmull_s16(v_srchi, v_srchi), shift), vget_high_s16(v_dst0))));
v_srclo = vget_low_s16(v_src1);
v_srchi = vget_high_s16(v_src1);
v_dst1 = vcombine_s16(vqmovn_s32(vaddw_s16(vshrq_n_s32(vmull_s16(v_srclo, v_srclo), shift), vget_low_s16(v_dst1))),
vqmovn_s32(vaddw_s16(vshrq_n_s32(vmull_s16(v_srchi, v_srchi), shift), vget_high_s16(v_dst1))));
vst1q_s16(dst + j, v_dst0);
vst1q_s16(dst + j + 8, v_dst1);
}
for (; j < roiw8; j += 8)
{
int16x8_t v_src = vreinterpretq_s16_u16(vmovl_u8(vld1_u8(src + j)));
int16x8_t v_dst = vld1q_s16(dst + j);
int16x4_t v_srclo = vget_low_s16(v_src), v_srchi = vget_high_s16(v_src);
v_dst = vcombine_s16(vqmovn_s32(vaddw_s16(vshrq_n_s32(vmull_s16(v_srclo, v_srclo), shift), vget_low_s16(v_dst))),
vqmovn_s32(vaddw_s16(vshrq_n_s32(vmull_s16(v_srchi, v_srchi), shift), vget_high_s16(v_dst))));
vst1q_s16(dst + j, v_dst);
}
for (; j < size.width; j++)
{
s32 srcVal = src[j];
dst[j] = internal::saturate_cast<s16>(dst[j] + ((srcVal * srcVal) >> shift));
}
}
}
template <>
void accumulateSquareConst<0>(const Size2D &size,
const u8 *srcBase, ptrdiff_t srcStride,
s16 *dstBase, ptrdiff_t dstStride)
{
size_t roiw16 = size.width >= 15 ? size.width - 15 : 0;
size_t roiw8 = size.width >= 7 ? size.width - 7 : 0;
for (size_t i = 0; i < size.height; ++i)
{
const u8* src = internal::getRowPtr(srcBase, srcStride, i);
s16* dst = internal::getRowPtr(dstBase, dstStride, i);
size_t j = 0;
for (; j < roiw16; j += 16)
{
internal::prefetch(src + j);
internal::prefetch(dst + j);
uint8x16_t v_src = vld1q_u8(src + j);
int16x8_t v_dst0 = vld1q_s16(dst + j), v_dst1 = vld1q_s16(dst + j + 8);
int16x8_t v_src0 = vreinterpretq_s16_u16(vmovl_u8(vget_low_u8(v_src)));
int16x8_t v_src1 = vreinterpretq_s16_u16(vmovl_u8(vget_high_u8(v_src)));
int16x4_t v_srclo = vget_low_s16(v_src0), v_srchi = vget_high_s16(v_src0);
v_dst0 = vcombine_s16(vqmovn_s32(vaddw_s16(vmull_s16(v_srclo, v_srclo), vget_low_s16(v_dst0))),
vqmovn_s32(vaddw_s16(vmull_s16(v_srchi, v_srchi), vget_high_s16(v_dst0))));
v_srclo = vget_low_s16(v_src1);
v_srchi = vget_high_s16(v_src1);
v_dst1 = vcombine_s16(vqmovn_s32(vaddw_s16(vmull_s16(v_srclo, v_srclo), vget_low_s16(v_dst1))),
vqmovn_s32(vaddw_s16(vmull_s16(v_srchi, v_srchi), vget_high_s16(v_dst1))));
vst1q_s16(dst + j, v_dst0);
vst1q_s16(dst + j + 8, v_dst1);
}
for (; j < roiw8; j += 8)
{
int16x8_t v_src = vreinterpretq_s16_u16(vmovl_u8(vld1_u8(src + j)));
int16x8_t v_dst = vld1q_s16(dst + j);
int16x4_t v_srclo = vget_low_s16(v_src), v_srchi = vget_high_s16(v_src);
v_dst = vcombine_s16(vqmovn_s32(vaddw_s16(vmull_s16(v_srclo, v_srclo), vget_low_s16(v_dst))),
vqmovn_s32(vaddw_s16(vmull_s16(v_srchi, v_srchi), vget_high_s16(v_dst))));
vst1q_s16(dst + j, v_dst);
}
for (; j < size.width; j++)
{
s32 srcVal = src[j];
dst[j] = internal::saturate_cast<s16>(dst[j] + srcVal * srcVal);
}
}
}
typedef void (* accumulateSquareConstFunc)(const Size2D &size,
const u8 *srcBase, ptrdiff_t srcStride,
s16 *dstBase, ptrdiff_t dstStride);
} // namespace
#endif
void accumulateSquare(const Size2D &size,
const u8 *srcBase, ptrdiff_t srcStride,
s16 *dstBase, ptrdiff_t dstStride,
u32 shift)
{
if (shift >= 16)
{
for (size_t i = 0; i < size.height; ++i)
{
s16 * dst = internal::getRowPtr(dstBase, dstStride, i);
std::memset(dst, 0, sizeof(s16) * size.width);
}
return;
}
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
// this ugly contruction is needed to avoid:
// /usr/lib/gcc/arm-linux-gnueabihf/4.8/include/arm_neon.h:3581:59: error: argument must be a constant
// return (int16x8_t)__builtin_neon_vshr_nv8hi (__a, __b, 1);
accumulateSquareConstFunc funcs[16] =
{
accumulateSquareConst<0>,
accumulateSquareConst<1>,
accumulateSquareConst<2>,
accumulateSquareConst<3>,
accumulateSquareConst<4>,
accumulateSquareConst<5>,
accumulateSquareConst<6>,
accumulateSquareConst<7>,
accumulateSquareConst<8>,
accumulateSquareConst<9>,
accumulateSquareConst<10>,
accumulateSquareConst<11>,
accumulateSquareConst<12>,
accumulateSquareConst<13>,
accumulateSquareConst<14>,
accumulateSquareConst<15>
}, func = funcs[shift];
func(size, srcBase, srcStride, dstBase, dstStride);
#else
(void)size;
(void)srcBase;
(void)srcStride;
(void)dstBase;
(void)dstStride;
(void)shift;
#endif
}
#ifdef CAROTENE_NEON
namespace {
struct AccumulateWeightedHalf
{
typedef u8 type;
void operator() (const uint8x16_t & v_src0, const uint8x16_t & v_src1,
uint8x16_t & v_dst) const
{
v_dst = vhaddq_u8(v_src0, v_src1);
}
void operator() (const uint8x8_t & v_src0, const uint8x8_t & v_src1,
uint8x8_t & v_dst) const
{
v_dst = vhadd_u8(v_src0, v_src1);
}
void operator() (const u8 * src0, const u8 * src1, u8 * dst) const
{
dst[0] = ((u16)(src0[0]) + src1[0]) >> 1;
}
};
struct AccumulateWeighted
{
typedef u8 type;
float alpha, beta;
float32x4_t v_alpha, v_beta;
explicit AccumulateWeighted(float _alpha) :
alpha(_alpha), beta(1 - _alpha)
{
v_alpha = vdupq_n_f32(alpha);
v_beta = vdupq_n_f32(beta);
}
void operator() (const uint8x16_t & v_src0, const uint8x16_t & v_src1,
uint8x16_t & v_dst) const
{
uint16x8_t v_src0_p = vmovl_u8(vget_low_u8(v_src0));
uint16x8_t v_src1_p = vmovl_u8(vget_low_u8(v_src1));
float32x4_t v_dst0f = vmlaq_f32(vmulq_f32(vcvtq_f32_u32(vmovl_u16(vget_low_u16(v_src1_p))), v_beta),
v_alpha, vcvtq_f32_u32(vmovl_u16(vget_low_u16(v_src0_p))));
float32x4_t v_dst1f = vmlaq_f32(vmulq_f32(vcvtq_f32_u32(vmovl_u16(vget_high_u16(v_src1_p))), v_beta),
v_alpha, vcvtq_f32_u32(vmovl_u16(vget_high_u16(v_src0_p))));
uint16x8_t v_dst0 = vcombine_u16(vmovn_u32(vcvtq_u32_f32(v_dst0f)),
vmovn_u32(vcvtq_u32_f32(v_dst1f)));
v_src0_p = vmovl_u8(vget_high_u8(v_src0));
v_src1_p = vmovl_u8(vget_high_u8(v_src1));
v_dst0f = vmlaq_f32(vmulq_f32(vcvtq_f32_u32(vmovl_u16(vget_low_u16(v_src1_p))), v_beta),
v_alpha, vcvtq_f32_u32(vmovl_u16(vget_low_u16(v_src0_p))));
v_dst1f = vmlaq_f32(vmulq_f32(vcvtq_f32_u32(vmovl_u16(vget_high_u16(v_src1_p))), v_beta),
v_alpha, vcvtq_f32_u32(vmovl_u16(vget_high_u16(v_src0_p))));
uint16x8_t v_dst1 = vcombine_u16(vmovn_u32(vcvtq_u32_f32(v_dst0f)),
vmovn_u32(vcvtq_u32_f32(v_dst1f)));
v_dst = vcombine_u8(vmovn_u16(v_dst0), vmovn_u16(v_dst1));
}
void operator() (const uint8x8_t & _v_src0, const uint8x8_t & _v_src1,
uint8x8_t & v_dst) const
{
uint16x8_t v_src0 = vmovl_u8(_v_src0), v_src1 = vmovl_u8(_v_src1);
float32x4_t v_dst0f = vmlaq_f32(vmulq_f32(vcvtq_f32_u32(vmovl_u16(vget_low_u16(v_src1))), v_beta),
v_alpha, vcvtq_f32_u32(vmovl_u16(vget_low_u16(v_src0))));
float32x4_t v_dst1f = vmlaq_f32(vmulq_f32(vcvtq_f32_u32(vmovl_u16(vget_high_u16(v_src1))), v_beta),
v_alpha, vcvtq_f32_u32(vmovl_u16(vget_high_u16(v_src0))));
uint16x8_t _v_dst = vcombine_u16(vmovn_u32(vcvtq_u32_f32(v_dst0f)),
vmovn_u32(vcvtq_u32_f32(v_dst1f)));
v_dst = vmovn_u16(_v_dst);
}
void operator() (const u8 * src0, const u8 * src1, u8 * dst) const
{
dst[0] = beta * src1[0] + alpha * src0[0];
}
};
} // namespace
#endif
void accumulateWeighted(const Size2D &size,
const u8 *srcBase, ptrdiff_t srcStride,
u8 *dstBase, ptrdiff_t dstStride,
f32 alpha)
{
if (alpha == 0.0f)
return;
if (alpha == 1.0f)
{
for (size_t i = 0; i < size.height; ++i)
{
const u8 * src = internal::getRowPtr(srcBase, srcStride, i);
u8 * dst = internal::getRowPtr(dstBase, dstStride, i);
std::memcpy(dst, src, sizeof(u8) * size.width);
}
return;
}
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
// in this case we can use the following scheme:
// dst[p] = (src[p] + dst[p]) >> 1
// which is faster
if (alpha == 0.5f)
{
internal::vtransform(size,
srcBase, srcStride,
dstBase, dstStride,
dstBase, dstStride,
AccumulateWeightedHalf());
return;
}
internal::vtransform(size,
srcBase, srcStride,
dstBase, dstStride,
dstBase, dstStride,
AccumulateWeighted(alpha));
#else
(void)size;
(void)srcBase;
(void)srcStride;
(void)dstBase;
(void)dstStride;
(void)alpha;
#endif
}
} //namespace CAROTENE_NS
+475
View File
@@ -0,0 +1,475 @@
/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2014, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#include "common.hpp"
#include "vtransform.hpp"
namespace CAROTENE_NS {
#ifdef CAROTENE_NEON
namespace {
template <typename T, typename WT>
struct AddWrap
{
typedef T type;
void operator() (const typename internal::VecTraits<T>::vec128 & v_src0,
const typename internal::VecTraits<T>::vec128 & v_src1,
typename internal::VecTraits<T>::vec128 & v_dst) const
{
v_dst = internal::vaddq(v_src0, v_src1);
}
void operator() (const typename internal::VecTraits<T>::vec64 & v_src0,
const typename internal::VecTraits<T>::vec64 & v_src1,
typename internal::VecTraits<T>::vec64 & v_dst) const
{
v_dst = internal::vadd(v_src0, v_src1);
}
void operator() (const T * src0, const T * src1, T * dst) const
{
dst[0] = (T)((WT)src0[0] + (WT)src1[0]);
}
};
template <typename T, typename WT>
struct AddSaturate
{
typedef T type;
void operator() (const typename internal::VecTraits<T>::vec128 & v_src0,
const typename internal::VecTraits<T>::vec128 & v_src1,
typename internal::VecTraits<T>::vec128 & v_dst) const
{
v_dst = internal::vqaddq(v_src0, v_src1);
}
void operator() (const typename internal::VecTraits<T>::vec64 & v_src0,
const typename internal::VecTraits<T>::vec64 & v_src1,
typename internal::VecTraits<T>::vec64 & v_dst) const
{
v_dst = internal::vqadd(v_src0, v_src1);
}
void operator() (const T * src0, const T * src1, T * dst) const
{
dst[0] = internal::saturate_cast<T>((WT)src0[0] + (WT)src1[0]);
}
};
} // namespace
#endif
void add(const Size2D &size,
const u8 * src0Base, ptrdiff_t src0Stride,
const u8 * src1Base, ptrdiff_t src1Stride,
u8 *dstBase, ptrdiff_t dstStride,
CONVERT_POLICY policy)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
if (policy == CONVERT_POLICY_SATURATE)
{
internal::vtransform(size,
src0Base, src0Stride,
src1Base, src1Stride,
dstBase, dstStride,
AddSaturate<u8, u16>());
}
else
{
internal::vtransform(size,
src0Base, src0Stride,
src1Base, src1Stride,
dstBase, dstStride,
AddWrap<u8, u16>());
}
#else
(void)size;
(void)src0Base;
(void)src0Stride;
(void)src1Base;
(void)src1Stride;
(void)dstBase;
(void)dstStride;
(void)policy;
#endif
}
void add(const Size2D &size,
const s8 * src0Base, ptrdiff_t src0Stride,
const s8 * src1Base, ptrdiff_t src1Stride,
s8 *dstBase, ptrdiff_t dstStride,
CONVERT_POLICY policy)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
if (policy == CONVERT_POLICY_SATURATE)
{
internal::vtransform(size,
src0Base, src0Stride,
src1Base, src1Stride,
dstBase, dstStride,
AddSaturate<s8, s16>());
}
else
{
internal::vtransform(size,
src0Base, src0Stride,
src1Base, src1Stride,
dstBase, dstStride,
AddWrap<s8, s16>());
}
#else
(void)size;
(void)src0Base;
(void)src0Stride;
(void)src1Base;
(void)src1Stride;
(void)dstBase;
(void)dstStride;
(void)policy;
#endif
}
void add(const Size2D &size,
const u8 * src0Base, ptrdiff_t src0Stride,
const u8 * src1Base, ptrdiff_t src1Stride,
s16 *dstBase, ptrdiff_t dstStride,
CONVERT_POLICY)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
size_t roiw32 = size.width >= 31 ? size.width - 31 : 0;
size_t roiw8 = size.width >= 7 ? size.width - 7 : 0;
for (size_t i = 0; i < size.height; ++i)
{
const u8 * src0 = internal::getRowPtr(src0Base, src0Stride, i);
const u8 * src1 = internal::getRowPtr(src1Base, src1Stride, i);
u16 * dst = internal::getRowPtr((u16 *)dstBase, dstStride, i);
size_t j = 0;
for (; j < roiw32; j += 32)
{
internal::prefetch(src0 + j);
internal::prefetch(src1 + j);
uint8x16_t v_src00 = vld1q_u8(src0 + j), v_src01 = vld1q_u8(src0 + j + 16);
uint8x16_t v_src10 = vld1q_u8(src1 + j), v_src11 = vld1q_u8(src1 + j + 16);
vst1q_u16(dst + j, vaddl_u8(vget_low_u8(v_src00), vget_low_u8(v_src10)));
vst1q_u16(dst + j + 8, vaddl_u8(vget_high_u8(v_src00), vget_high_u8(v_src10)));
vst1q_u16(dst + j + 16, vaddl_u8(vget_low_u8(v_src01), vget_low_u8(v_src11)));
vst1q_u16(dst + j + 24, vaddl_u8(vget_high_u8(v_src01), vget_high_u8(v_src11)));
}
for (; j < roiw8; j += 8)
{
uint8x8_t v_src0 = vld1_u8(src0 + j);
uint8x8_t v_src1 = vld1_u8(src1 + j);
vst1q_u16(dst + j, vaddl_u8(v_src0, v_src1));
}
for (; j < size.width; j++)
dst[j] = (u16)src0[j] + (u16)src1[j];
}
#else
(void)size;
(void)src0Base;
(void)src0Stride;
(void)src1Base;
(void)src1Stride;
(void)dstBase;
(void)dstStride;
#endif
}
void add(const Size2D &size,
const u8 * src0Base, ptrdiff_t src0Stride,
const s16 * src1Base, ptrdiff_t src1Stride,
s16 *dstBase, ptrdiff_t dstStride,
CONVERT_POLICY policy)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
size_t roiw16 = size.width >= 15 ? size.width - 15 : 0;
size_t roiw8 = size.width >= 7 ? size.width - 7 : 0;
for (size_t i = 0; i < size.height; ++i)
{
const u8 * src0 = internal::getRowPtr(src0Base, src0Stride, i);
const s16 * src1 = internal::getRowPtr(src1Base, src1Stride, i);
s16 * dst = internal::getRowPtr(dstBase, dstStride, i);
size_t j = 0;
if (policy == CONVERT_POLICY_SATURATE)
{
for (; j < roiw16; j += 16)
{
internal::prefetch(src0 + j);
internal::prefetch(src1 + j);
uint8x16_t v_src0 = vld1q_u8(src0 + j);
int16x8_t v_src00 = vreinterpretq_s16_u16(vmovl_u8(vget_low_u8(v_src0)));
int16x8_t v_src01 = vreinterpretq_s16_u16(vmovl_u8(vget_high_u8(v_src0)));
int16x8_t v_src10 = vld1q_s16(src1 + j), v_src11 = vld1q_s16(src1 + j + 8);
int16x8_t v_dst0 = vqaddq_s16(v_src00, v_src10);
int16x8_t v_dst1 = vqaddq_s16(v_src01, v_src11);
vst1q_s16(dst + j, v_dst0);
vst1q_s16(dst + j + 8, v_dst1);
}
for (; j < roiw8; j += 8)
{
int16x8_t v_src0 = vreinterpretq_s16_u16(vmovl_u8(vld1_u8(src0 + j)));
int16x8_t v_src1 = vld1q_s16(src1 + j);
int16x8_t v_dst = vqaddq_s16(v_src0, v_src1);
vst1q_s16(dst + j, v_dst);
}
for (; j < size.width; j++)
dst[j] = internal::saturate_cast<s16>((s32)src0[j] + (s32)src1[j]);
}
else
{
for (; j < roiw16; j += 16)
{
internal::prefetch(src0 + j);
internal::prefetch(src1 + j);
uint8x16_t v_src0 = vld1q_u8(src0 + j);
int16x8_t v_src00 = vreinterpretq_s16_u16(vmovl_u8(vget_low_u8(v_src0)));
int16x8_t v_src01 = vreinterpretq_s16_u16(vmovl_u8(vget_high_u8(v_src0)));
int16x8_t v_src10 = vld1q_s16(src1 + j), v_src11 = vld1q_s16(src1 + j + 8);
int16x8_t v_dst0 = vaddq_s16(v_src00, v_src10);
int16x8_t v_dst1 = vaddq_s16(v_src01, v_src11);
vst1q_s16(dst + j, v_dst0);
vst1q_s16(dst + j + 8, v_dst1);
}
for (; j < roiw8; j += 8)
{
int16x8_t v_src0 = vreinterpretq_s16_u16(vmovl_u8(vld1_u8(src0 + j)));
int16x8_t v_src1 = vld1q_s16(src1 + j);
int16x8_t v_dst = vaddq_s16(v_src0, v_src1);
vst1q_s16(dst + j, v_dst);
}
for (; j < size.width; j++)
dst[j] = (s16)((s32)src0[j] + (s32)src1[j]);
}
}
#else
(void)size;
(void)src0Base;
(void)src0Stride;
(void)src1Base;
(void)src1Stride;
(void)dstBase;
(void)dstStride;
(void)policy;
#endif
}
void add(const Size2D &size,
const s16 * src0Base, ptrdiff_t src0Stride,
const s16 * src1Base, ptrdiff_t src1Stride,
s16 *dstBase, ptrdiff_t dstStride,
CONVERT_POLICY policy)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
if (policy == CONVERT_POLICY_SATURATE)
{
internal::vtransform(size,
src0Base, src0Stride,
src1Base, src1Stride,
dstBase, dstStride,
AddSaturate<s16, s32>());
}
else
{
internal::vtransform(size,
src0Base, src0Stride,
src1Base, src1Stride,
dstBase, dstStride,
AddWrap<s16, s32>());
}
#else
(void)size;
(void)src0Base;
(void)src0Stride;
(void)src1Base;
(void)src1Stride;
(void)dstBase;
(void)dstStride;
(void)policy;
#endif
}
void add(const Size2D &size,
const u16 * src0Base, ptrdiff_t src0Stride,
const u16 * src1Base, ptrdiff_t src1Stride,
u16 * dstBase, ptrdiff_t dstStride,
CONVERT_POLICY policy)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
if (policy == CONVERT_POLICY_SATURATE)
{
internal::vtransform(size,
src0Base, src0Stride,
src1Base, src1Stride,
dstBase, dstStride,
AddSaturate<u16, u32>());
}
else
{
internal::vtransform(size,
src0Base, src0Stride,
src1Base, src1Stride,
dstBase, dstStride,
AddWrap<u16, u32>());
}
#else
(void)size;
(void)src0Base;
(void)src0Stride;
(void)src1Base;
(void)src1Stride;
(void)dstBase;
(void)dstStride;
(void)policy;
#endif
}
void add(const Size2D &size,
const s32 * src0Base, ptrdiff_t src0Stride,
const s32 * src1Base, ptrdiff_t src1Stride,
s32 *dstBase, ptrdiff_t dstStride,
CONVERT_POLICY policy)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
if (policy == CONVERT_POLICY_SATURATE)
{
internal::vtransform(size,
src0Base, src0Stride,
src1Base, src1Stride,
dstBase, dstStride,
AddSaturate<s32, s64>());
}
else
{
internal::vtransform(size,
src0Base, src0Stride,
src1Base, src1Stride,
dstBase, dstStride,
AddWrap<s32, s64>());
}
#else
(void)size;
(void)src0Base;
(void)src0Stride;
(void)src1Base;
(void)src1Stride;
(void)dstBase;
(void)dstStride;
(void)policy;
#endif
}
void add(const Size2D &size,
const u32 * src0Base, ptrdiff_t src0Stride,
const u32 * src1Base, ptrdiff_t src1Stride,
u32 * dstBase, ptrdiff_t dstStride,
CONVERT_POLICY policy)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
if (policy == CONVERT_POLICY_SATURATE)
{
internal::vtransform(size,
src0Base, src0Stride,
src1Base, src1Stride,
dstBase, dstStride,
AddSaturate<u32, u64>());
}
else
{
internal::vtransform(size,
src0Base, src0Stride,
src1Base, src1Stride,
dstBase, dstStride,
AddWrap<u32, u64>());
}
#else
(void)size;
(void)src0Base;
(void)src0Stride;
(void)src1Base;
(void)src1Stride;
(void)dstBase;
(void)dstStride;
(void)policy;
#endif
}
void add(const Size2D &size,
const f32 * src0Base, ptrdiff_t src0Stride,
const f32 * src1Base, ptrdiff_t src1Stride,
f32 * dstBase, ptrdiff_t dstStride)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
internal::vtransform(size,
src0Base, src0Stride,
src1Base, src1Stride,
dstBase, dstStride,
AddWrap<f32, f32>());
#else
(void)size;
(void)src0Base;
(void)src0Stride;
(void)src1Base;
(void)src1Stride;
(void)dstBase;
(void)dstStride;
#endif
}
} // namespace CAROTENE_NS
+266
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/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2012-2015, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#include "common.hpp"
#include "vtransform.hpp"
#include "vround_helper.hpp"
namespace CAROTENE_NS {
#ifdef CAROTENE_NEON
namespace {
using namespace internal;
template <typename T> struct TypeTraits;
template <> struct TypeTraits< u8> { typedef u16 wide; typedef u8 unsign; typedef uint8x16_t vec128; };
template <> struct TypeTraits< s8> { typedef s16 wide; typedef u8 unsign; typedef int8x16_t vec128; };
template <> struct TypeTraits<u16> { typedef u32 wide; typedef u8 narrow; typedef u16 unsign; typedef uint16x8_t vec128; };
template <> struct TypeTraits<s16> { typedef s32 wide; typedef s8 narrow; typedef u16 unsign; typedef int16x8_t vec128; };
template <> struct TypeTraits<u32> { typedef u64 wide; typedef u16 narrow; typedef u32 unsign; typedef uint32x4_t vec128; };
template <> struct TypeTraits<s32> { typedef s64 wide; typedef s16 narrow; typedef u32 unsign; typedef int32x4_t vec128; };
template <> struct TypeTraits<f32> { typedef f64 wide; typedef float32x4_t vec128; };
template <typename T> struct wAdd
{
typedef T type;
f32 alpha, beta, gamma;
typedef typename TypeTraits<T>::wide wtype;
wAdd<wtype> wideAdd;
wAdd(f32 _alpha, f32 _beta, f32 _gamma):
alpha(_alpha), beta(_beta), gamma(_gamma),
wideAdd(_alpha, _beta, _gamma) {}
void operator() (const typename VecTraits<T>::vec128 & v_src0,
const typename VecTraits<T>::vec128 & v_src1,
typename VecTraits<T>::vec128 & v_dst) const
{
typename VecTraits<wtype>::vec128 vrl, vrh;
wideAdd(vmovl( vget_low(v_src0)), vmovl( vget_low(v_src1)), vrl);
wideAdd(vmovl(vget_high(v_src0)), vmovl(vget_high(v_src1)), vrh);
v_dst = vcombine(vqmovn(vrl), vqmovn(vrh));
}
void operator() (const typename VecTraits<T>::vec64 & v_src0,
const typename VecTraits<T>::vec64 & v_src1,
typename VecTraits<T>::vec64 & v_dst) const
{
typename VecTraits<wtype>::vec128 vr;
wideAdd(vmovl(v_src0), vmovl(v_src1), vr);
v_dst = vqmovn(vr);
}
void operator() (const T * src0, const T * src1, T * dst) const
{
dst[0] = saturate_cast<T>(alpha*src0[0] + beta*src1[0] + gamma);
}
};
template <> struct wAdd<s32>
{
typedef s32 type;
f32 alpha, beta, gamma;
float32x4_t valpha, vbeta, vgamma;
wAdd(f32 _alpha, f32 _beta, f32 _gamma):
alpha(_alpha), beta(_beta), gamma(_gamma)
{
valpha = vdupq_n_f32(_alpha);
vbeta = vdupq_n_f32(_beta);
vgamma = vdupq_n_f32(_gamma);
}
void operator() (const VecTraits<s32>::vec128 & v_src0,
const VecTraits<s32>::vec128 & v_src1,
VecTraits<s32>::vec128 & v_dst) const
{
float32x4_t vs1 = vcvtq_f32_s32(v_src0);
float32x4_t vs2 = vcvtq_f32_s32(v_src1);
vs1 = vmlaq_f32(vgamma, vs1, valpha);
vs1 = vmlaq_f32(vs1, vs2, vbeta);
v_dst = vroundq_s32_f32(vs1);
}
void operator() (const VecTraits<s32>::vec64 & v_src0,
const VecTraits<s32>::vec64 & v_src1,
VecTraits<s32>::vec64 & v_dst) const
{
float32x2_t vs1 = vcvt_f32_s32(v_src0);
float32x2_t vs2 = vcvt_f32_s32(v_src1);
vs1 = vmla_f32(vget_low(vgamma), vs1, vget_low(valpha));
vs1 = vmla_f32(vs1, vs2, vget_low(vbeta));
v_dst = vround_s32_f32(vs1);
}
void operator() (const s32 * src0, const s32 * src1, s32 * dst) const
{
dst[0] = saturate_cast<s32>(alpha*src0[0] + beta*src1[0] + gamma);
}
};
template <> struct wAdd<u32>
{
typedef u32 type;
f32 alpha, beta, gamma;
float32x4_t valpha, vbeta, vgamma;
wAdd(f32 _alpha, f32 _beta, f32 _gamma):
alpha(_alpha), beta(_beta), gamma(_gamma)
{
valpha = vdupq_n_f32(_alpha);
vbeta = vdupq_n_f32(_beta);
vgamma = vdupq_n_f32(_gamma);
}
void operator() (const VecTraits<u32>::vec128 & v_src0,
const VecTraits<u32>::vec128 & v_src1,
VecTraits<u32>::vec128 & v_dst) const
{
float32x4_t vs1 = vcvtq_f32_u32(v_src0);
float32x4_t vs2 = vcvtq_f32_u32(v_src1);
vs1 = vmlaq_f32(vgamma, vs1, valpha);
vs1 = vmlaq_f32(vs1, vs2, vbeta);
v_dst = vroundq_u32_f32(vs1);
}
void operator() (const VecTraits<u32>::vec64 & v_src0,
const VecTraits<u32>::vec64 & v_src1,
VecTraits<u32>::vec64 & v_dst) const
{
float32x2_t vs1 = vcvt_f32_u32(v_src0);
float32x2_t vs2 = vcvt_f32_u32(v_src1);
vs1 = vmla_f32(vget_low(vgamma), vs1, vget_low(valpha));
vs1 = vmla_f32(vs1, vs2, vget_low(vbeta));
v_dst = vround_u32_f32(vs1);
}
void operator() (const u32 * src0, const u32 * src1, u32 * dst) const
{
dst[0] = saturate_cast<u32>(alpha*src0[0] + beta*src1[0] + gamma);
}
};
template <> struct wAdd<f32>
{
typedef f32 type;
f32 alpha, beta, gamma;
float32x4_t valpha, vbeta, vgamma;
wAdd(f32 _alpha, f32 _beta, f32 _gamma):
alpha(_alpha), beta(_beta), gamma(_gamma)
{
valpha = vdupq_n_f32(_alpha);
vbeta = vdupq_n_f32(_beta);
vgamma = vdupq_n_f32(_gamma + 0.5);
}
void operator() (const VecTraits<f32>::vec128 & v_src0,
const VecTraits<f32>::vec128 & v_src1,
VecTraits<f32>::vec128 & v_dst) const
{
float32x4_t vs1 = vmlaq_f32(vgamma, v_src0, valpha);
v_dst = vmlaq_f32(vs1, v_src1, vbeta);
}
void operator() (const VecTraits<f32>::vec64 & v_src0,
const VecTraits<f32>::vec64 & v_src1,
VecTraits<f32>::vec64 & v_dst) const
{
float32x2_t vs1 = vmla_f32(vget_low(vgamma), v_src0, vget_low(valpha));
v_dst = vmla_f32(vs1, v_src1, vget_low(vbeta));
}
void operator() (const f32 * src0, const f32 * src1, f32 * dst) const
{
dst[0] = alpha*src0[0] + beta*src1[0] + gamma;
}
};
} // namespace
#define IMPL_ADDWEIGHTED(type) \
void addWeighted(const Size2D &size, \
const type * src0Base, ptrdiff_t src0Stride, \
const type * src1Base, ptrdiff_t src1Stride, \
type * dstBase, ptrdiff_t dstStride, \
f32 alpha, f32 beta, f32 gamma) \
{ \
internal::assertSupportedConfiguration(); \
wAdd<type> wgtAdd(alpha, \
beta, \
gamma); \
internal::vtransform(size, \
src0Base, src0Stride, \
src1Base, src1Stride, \
dstBase, dstStride, \
wgtAdd); \
}
#else
#define IMPL_ADDWEIGHTED(type) \
void addWeighted(const Size2D &, \
const type *, ptrdiff_t, \
const type *, ptrdiff_t, \
type *, ptrdiff_t, \
f32, f32, f32) \
{ \
internal::assertSupportedConfiguration(); \
}
#endif
IMPL_ADDWEIGHTED(u8)
IMPL_ADDWEIGHTED(s8)
IMPL_ADDWEIGHTED(u16)
IMPL_ADDWEIGHTED(s16)
IMPL_ADDWEIGHTED(u32)
IMPL_ADDWEIGHTED(s32)
IMPL_ADDWEIGHTED(f32)
} // namespace CAROTENE_NS
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/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2014, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#include "common.hpp"
#include "vtransform.hpp"
namespace CAROTENE_NS {
#ifdef CAROTENE_NEON
struct BitwiseAnd
{
typedef u8 type;
void operator() (const uint8x16_t & v_src0, const uint8x16_t & v_src1,
uint8x16_t & v_dst) const
{
v_dst = vandq_u8(v_src0, v_src1);
}
void operator() (const uint8x8_t & v_src0, const uint8x8_t & v_src1,
uint8x8_t & v_dst) const
{
v_dst = vand_u8(v_src0, v_src1);
}
void operator() (const u8 * src0, const u8 * src1, u8 * dst) const
{
dst[0] = src0[0] & src1[0];
}
};
struct BitwiseOr
{
typedef u8 type;
void operator() (const uint8x16_t & v_src0, const uint8x16_t & v_src1,
uint8x16_t & v_dst) const
{
v_dst = vorrq_u8(v_src0, v_src1);
}
void operator() (const uint8x8_t & v_src0, const uint8x8_t & v_src1,
uint8x8_t & v_dst) const
{
v_dst = vorr_u8(v_src0, v_src1);
}
void operator() (const u8 * src0, const u8 * src1, u8 * dst) const
{
dst[0] = src0[0] | src1[0];
}
};
struct BitwiseXor
{
typedef u8 type;
void operator() (const uint8x16_t & v_src0, const uint8x16_t & v_src1,
uint8x16_t & v_dst) const
{
v_dst = veorq_u8(v_src0, v_src1);
}
void operator() (const uint8x8_t & v_src0, const uint8x8_t & v_src1,
uint8x8_t & v_dst) const
{
v_dst = veor_u8(v_src0, v_src1);
}
void operator() (const u8 * src0, const u8 * src1, u8 * dst) const
{
dst[0] = src0[0] ^ src1[0];
}
};
#endif
void bitwiseNot(const Size2D &size,
const u8 *srcBase, ptrdiff_t srcStride,
u8 *dstBase, ptrdiff_t dstStride)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
size_t roiw32 = size.width >= 31 ? size.width - 31 : 0;
size_t roiw8 = size.width >= 7 ? size.width - 7 : 0;
for (size_t i = 0; i < size.height; ++i)
{
const u8* src = internal::getRowPtr(srcBase, srcStride, i);
u8* dst = internal::getRowPtr(dstBase, dstStride, i);
size_t j = 0;
for (; j < roiw32; j += 32)
{
internal::prefetch(src + j);
uint8x16_t v_src0 = vld1q_u8(src + j), v_src1 = vld1q_u8(src + j + 16);
uint8x16_t v_dst0 = vmvnq_u8(v_src0), v_dst1 = vmvnq_u8(v_src1);
vst1q_u8(dst + j, v_dst0);
vst1q_u8(dst + j + 16, v_dst1);
}
for (; j < roiw8; j += 8)
{
uint8x8_t v_src = vld1_u8(src + j);
uint8x8_t v_dst = vmvn_u8(v_src);
vst1_u8(dst + j, v_dst);
}
for (; j < size.width; j++)
{
dst[j] = ~src[j];
}
}
#else
(void)size;
(void)srcBase;
(void)srcStride;
(void)dstBase;
(void)dstStride;
#endif
}
void bitwiseAnd(const Size2D &size,
const u8 *src0Base, ptrdiff_t src0Stride,
const u8 *src1Base, ptrdiff_t src1Stride,
u8 *dstBase, ptrdiff_t dstStride)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
internal::vtransform(size,
src0Base, src0Stride,
src1Base, src1Stride,
dstBase, dstStride, BitwiseAnd());
#else
(void)size;
(void)src0Base;
(void)src0Stride;
(void)src1Base;
(void)src1Stride;
(void)dstBase;
(void)dstStride;
#endif
}
void bitwiseOr(const Size2D &size,
const u8 *src0Base, ptrdiff_t src0Stride,
const u8 *src1Base, ptrdiff_t src1Stride,
u8 *dstBase, ptrdiff_t dstStride)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
internal::vtransform(size,
src0Base, src0Stride,
src1Base, src1Stride,
dstBase, dstStride, BitwiseOr());
#else
(void)size;
(void)src0Base;
(void)src0Stride;
(void)src1Base;
(void)src1Stride;
(void)dstBase;
(void)dstStride;
#endif
}
void bitwiseXor(const Size2D &size,
const u8 *src0Base, ptrdiff_t src0Stride,
const u8 *src1Base, ptrdiff_t src1Stride,
u8 *dstBase, ptrdiff_t dstStride)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
internal::vtransform(size,
src0Base, src0Stride,
src1Base, src1Stride,
dstBase, dstStride, BitwiseXor());
#else
(void)size;
(void)src0Base;
(void)src0Stride;
(void)src1Base;
(void)src1Stride;
(void)dstBase;
(void)dstStride;
#endif
}
} // namespace CAROTENE_NS
File diff suppressed because it is too large Load Diff
+773
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/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2012-2015, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#include "common.hpp"
#include "saturate_cast.hpp"
#include <vector>
#include <cstring>
namespace CAROTENE_NS {
#ifdef CAROTENE_NEON
namespace {
struct RowFilter3x3Canny
{
inline RowFilter3x3Canny(const ptrdiff_t borderxl, const ptrdiff_t borderxr)
{
vfmask = vreinterpret_u8_u64(vmov_n_u64(borderxl ? 0x0000FFffFFffFFffULL : 0x0100FFffFFffFFffULL));
vtmask = vreinterpret_u8_u64(vmov_n_u64(borderxr ? 0x0707060504030201ULL : 0x0706050403020100ULL));
lookLeft = offsetk - borderxl;
lookRight = offsetk - borderxr;
}
inline void operator()(const u8* src, s16* dstx, s16* dsty, ptrdiff_t width)
{
uint8x8_t l = vtbl1_u8(vld1_u8(src - lookLeft), vfmask);
ptrdiff_t i = 0;
for (; i < width - 8 + lookRight; i += 8)
{
internal::prefetch(src + i);
uint8x8_t l18u = vld1_u8(src + i + 1);
uint8x8_t l2 = l18u;
uint8x8_t l0 = vext_u8(l, l18u, 6);
int16x8_t l1x2 = vreinterpretq_s16_u16(vshll_n_u8(vext_u8(l, l18u, 7), 1));
l = l18u;
int16x8_t l02 = vreinterpretq_s16_u16(vaddl_u8(l2, l0));
int16x8_t ldx = vreinterpretq_s16_u16(vsubl_u8(l2, l0));
int16x8_t ldy = vaddq_s16(l02, l1x2);
vst1q_s16(dstx + i, ldx);
vst1q_s16(dsty + i, ldy);
}
//tail
if (lookRight == 0 || i != width)
{
uint8x8_t tail0 = vld1_u8(src + (width - 9));//can't get left 1 pixel another way if width==8*k+1
uint8x8_t tail2 = vtbl1_u8(vld1_u8(src + (width - 8 + lookRight)), vtmask);
uint8x8_t tail1 = vext_u8(vreinterpret_u8_u64(vshl_n_u64(vreinterpret_u64_u8(tail0), 8*6)), tail2, 7);
int16x8_t tail02 = vreinterpretq_s16_u16(vaddl_u8(tail2, tail0));
int16x8_t tail1x2 = vreinterpretq_s16_u16(vshll_n_u8(tail1, 1));
int16x8_t taildx = vreinterpretq_s16_u16(vsubl_u8(tail2, tail0));
int16x8_t taildy = vqaddq_s16(tail02, tail1x2);
vst1q_s16(dstx + (width - 8), taildx);
vst1q_s16(dsty + (width - 8), taildy);
}
}
uint8x8_t vfmask;
uint8x8_t vtmask;
enum { offsetk = 1};
ptrdiff_t lookLeft;
ptrdiff_t lookRight;
};
template <bool L2gradient>
inline void ColFilter3x3Canny(const s16* src0, const s16* src1, const s16* src2, s16* dstx, s16* dsty, s32* mag, ptrdiff_t width)
{
ptrdiff_t j = 0;
for (; j <= width - 8; j += 8)
{
ColFilter3x3CannyL1Loop:
int16x8_t line0x = vld1q_s16(src0 + j);
int16x8_t line1x = vld1q_s16(src1 + j);
int16x8_t line2x = vld1q_s16(src2 + j);
int16x8_t line0y = vld1q_s16(src0 + j + width);
int16x8_t line2y = vld1q_s16(src2 + j + width);
int16x8_t l02 = vaddq_s16(line0x, line2x);
int16x8_t l1x2 = vshlq_n_s16(line1x, 1);
int16x8_t dy = vsubq_s16(line2y, line0y);
int16x8_t dx = vaddq_s16(l1x2, l02);
int16x8_t dya = vabsq_s16(dy);
int16x8_t dxa = vabsq_s16(dx);
int16x8_t norm = vaddq_s16(dya, dxa);
int32x4_t normh = vmovl_s16(vget_high_s16(norm));
int32x4_t norml = vmovl_s16(vget_low_s16(norm));
vst1q_s16(dsty + j, dy);
vst1q_s16(dstx + j, dx);
vst1q_s32(mag + j + 4, normh);
vst1q_s32(mag + j, norml);
}
if (j != width)
{
j = width - 8;
goto ColFilter3x3CannyL1Loop;
}
}
template <>
inline void ColFilter3x3Canny<true>(const s16* src0, const s16* src1, const s16* src2, s16* dstx, s16* dsty, s32* mag, ptrdiff_t width)
{
ptrdiff_t j = 0;
for (; j <= width - 8; j += 8)
{
ColFilter3x3CannyL2Loop:
int16x8_t line0x = vld1q_s16(src0 + j);
int16x8_t line1x = vld1q_s16(src1 + j);
int16x8_t line2x = vld1q_s16(src2 + j);
int16x8_t line0y = vld1q_s16(src0 + j + width);
int16x8_t line2y = vld1q_s16(src2 + j + width);
int16x8_t l02 = vaddq_s16(line0x, line2x);
int16x8_t l1x2 = vshlq_n_s16(line1x, 1);
int16x8_t dy = vsubq_s16(line2y, line0y);
int16x8_t dx = vaddq_s16(l1x2, l02);
int32x4_t norml = vmull_s16(vget_low_s16(dx), vget_low_s16(dx));
int32x4_t normh = vmull_s16(vget_high_s16(dy), vget_high_s16(dy));
norml = vmlal_s16(norml, vget_low_s16(dy), vget_low_s16(dy));
normh = vmlal_s16(normh, vget_high_s16(dx), vget_high_s16(dx));
vst1q_s16(dsty + j, dy);
vst1q_s16(dstx + j, dx);
vst1q_s32(mag + j, norml);
vst1q_s32(mag + j + 4, normh);
}
if (j != width)
{
j = width - 8;
goto ColFilter3x3CannyL2Loop;
}
}
template <bool L2gradient>
inline void NormCanny(const ptrdiff_t colscn, s16* _dx, s16* _dy, s32* _norm)
{
ptrdiff_t j = 0;
if (colscn >= 8)
{
int16x8_t vx = vld1q_s16(_dx);
int16x8_t vy = vld1q_s16(_dy);
for (; j <= colscn - 16; j+=8)
{
internal::prefetch(_dx);
internal::prefetch(_dy);
int16x8_t vx2 = vld1q_s16(_dx + j + 8);
int16x8_t vy2 = vld1q_s16(_dy + j + 8);
int16x8_t vabsx = vabsq_s16(vx);
int16x8_t vabsy = vabsq_s16(vy);
int16x8_t norm = vaddq_s16(vabsx, vabsy);
int32x4_t normh = vmovl_s16(vget_high_s16(norm));
int32x4_t norml = vmovl_s16(vget_low_s16(norm));
vst1q_s32(_norm + j + 4, normh);
vst1q_s32(_norm + j + 0, norml);
vx = vx2;
vy = vy2;
}
int16x8_t vabsx = vabsq_s16(vx);
int16x8_t vabsy = vabsq_s16(vy);
int16x8_t norm = vaddq_s16(vabsx, vabsy);
int32x4_t normh = vmovl_s16(vget_high_s16(norm));
int32x4_t norml = vmovl_s16(vget_low_s16(norm));
vst1q_s32(_norm + j + 4, normh);
vst1q_s32(_norm + j + 0, norml);
}
for (; j < colscn; j++)
_norm[j] = std::abs(s32(_dx[j])) + std::abs(s32(_dy[j]));
}
template <>
inline void NormCanny<true>(const ptrdiff_t colscn, s16* _dx, s16* _dy, s32* _norm)
{
ptrdiff_t j = 0;
if (colscn >= 8)
{
int16x8_t vx = vld1q_s16(_dx);
int16x8_t vy = vld1q_s16(_dy);
for (; j <= colscn - 16; j+=8)
{
internal::prefetch(_dx);
internal::prefetch(_dy);
int16x8_t vxnext = vld1q_s16(_dx + j + 8);
int16x8_t vynext = vld1q_s16(_dy + j + 8);
int32x4_t norml = vmull_s16(vget_low_s16(vx), vget_low_s16(vx));
int32x4_t normh = vmull_s16(vget_high_s16(vy), vget_high_s16(vy));
norml = vmlal_s16(norml, vget_low_s16(vy), vget_low_s16(vy));
normh = vmlal_s16(normh, vget_high_s16(vx), vget_high_s16(vx));
vst1q_s32(_norm + j + 0, norml);
vst1q_s32(_norm + j + 4, normh);
vx = vxnext;
vy = vynext;
}
int32x4_t norml = vmull_s16(vget_low_s16(vx), vget_low_s16(vx));
int32x4_t normh = vmull_s16(vget_high_s16(vy), vget_high_s16(vy));
norml = vmlal_s16(norml, vget_low_s16(vy), vget_low_s16(vy));
normh = vmlal_s16(normh, vget_high_s16(vx), vget_high_s16(vx));
vst1q_s32(_norm + j + 0, norml);
vst1q_s32(_norm + j + 4, normh);
}
for (; j < colscn; j++)
_norm[j] = s32(_dx[j])*_dx[j] + s32(_dy[j])*_dy[j];
}
template <bool L2gradient>
inline void prepareThresh(f64 low_thresh, f64 high_thresh,
s32 &low, s32 &high)
{
if (low_thresh > high_thresh)
std::swap(low_thresh, high_thresh);
#if defined __GNUC__
low = (s32)low_thresh;
high = (s32)high_thresh;
low -= (low > low_thresh);
high -= (high > high_thresh);
#else
low = internal::round(low_thresh);
high = internal::round(high_thresh);
f32 ldiff = (f32)(low_thresh - low);
f32 hdiff = (f32)(high_thresh - high);
low -= (ldiff < 0);
high -= (hdiff < 0);
#endif
}
template <>
inline void prepareThresh<true>(f64 low_thresh, f64 high_thresh,
s32 &low, s32 &high)
{
if (low_thresh > high_thresh)
std::swap(low_thresh, high_thresh);
if (low_thresh > 0) low_thresh *= low_thresh;
if (high_thresh > 0) high_thresh *= high_thresh;
#if defined __GNUC__
low = (s32)low_thresh;
high = (s32)high_thresh;
low -= (low > low_thresh);
high -= (high > high_thresh);
#else
low = internal::round(low_thresh);
high = internal::round(high_thresh);
f32 ldiff = (f32)(low_thresh - low);
f32 hdiff = (f32)(high_thresh - high);
low -= (ldiff < 0);
high -= (hdiff < 0);
#endif
}
template <bool L2gradient, bool externalSobel>
struct _normEstimator
{
ptrdiff_t magstep;
ptrdiff_t dxOffset;
ptrdiff_t dyOffset;
ptrdiff_t shxOffset;
ptrdiff_t shyOffset;
std::vector<u8> buffer;
const ptrdiff_t offsetk;
ptrdiff_t borderyt, borderyb;
RowFilter3x3Canny sobelRow;
inline _normEstimator(const Size2D &size, s32, Margin borderMargin,
ptrdiff_t &mapstep, s32** mag_buf, u8* &map):
offsetk(1),
sobelRow(std::max<ptrdiff_t>(0, offsetk - (ptrdiff_t)borderMargin.left),
std::max<ptrdiff_t>(0, offsetk - (ptrdiff_t)borderMargin.right))
{
mapstep = size.width + 2;
magstep = size.width + 2 + size.width * (4 * sizeof(s16)/sizeof(s32));
dxOffset = mapstep * sizeof(s32)/sizeof(s16);
dyOffset = dxOffset + size.width * 1;
shxOffset = dxOffset + size.width * 2;
shyOffset = dxOffset + size.width * 3;
buffer.resize( (size.width+2)*(size.height+2) + magstep*3*sizeof(s32) );
mag_buf[0] = (s32*)&buffer[0];
mag_buf[1] = mag_buf[0] + magstep;
mag_buf[2] = mag_buf[1] + magstep;
memset(mag_buf[0], 0, mapstep * sizeof(s32));
map = (u8*)(mag_buf[2] + magstep);
memset(map, 1, mapstep);
memset(map + mapstep*(size.height + 1), 1, mapstep);
borderyt = std::max<ptrdiff_t>(0, offsetk - (ptrdiff_t)borderMargin.top);
borderyb = std::max<ptrdiff_t>(0, offsetk - (ptrdiff_t)borderMargin.bottom);
}
inline void firstRow(const Size2D &size, s32,
const u8 *srcBase, ptrdiff_t srcStride,
s16*, ptrdiff_t,
s16*, ptrdiff_t,
s32** mag_buf)
{
//sobelH row #0
const u8* _src = internal::getRowPtr(srcBase, srcStride, 0);
sobelRow(_src, ((s16*)mag_buf[0]) + shxOffset, ((s16*)mag_buf[0]) + shyOffset, size.width);
//sobelH row #1
_src = internal::getRowPtr(srcBase, srcStride, 1);
sobelRow(_src, ((s16*)mag_buf[1]) + shxOffset, ((s16*)mag_buf[1]) + shyOffset, size.width);
mag_buf[1][0] = mag_buf[1][size.width+1] = 0;
if (borderyt == 0)
{
//sobelH row #-1
_src = internal::getRowPtr(srcBase, srcStride, -1);
sobelRow(_src, ((s16*)mag_buf[2]) + shxOffset, ((s16*)mag_buf[2]) + shyOffset, size.width);
ColFilter3x3Canny<L2gradient>( ((s16*)mag_buf[2]) + shxOffset, ((s16*)mag_buf[0]) + shxOffset, ((s16*)mag_buf[1]) + shxOffset,
((s16*)mag_buf[1]) + dxOffset, ((s16*)mag_buf[1]) + dyOffset, mag_buf[1] + 1, size.width);
}
else
{
ColFilter3x3Canny<L2gradient>( ((s16*)mag_buf[0]) + shxOffset, ((s16*)mag_buf[0]) + shxOffset, ((s16*)mag_buf[1]) + shxOffset,
((s16*)mag_buf[1]) + dxOffset, ((s16*)mag_buf[1]) + dyOffset, mag_buf[1] + 1, size.width);
}
}
inline void nextRow(const Size2D &size, s32,
const u8 *srcBase, ptrdiff_t srcStride,
s16*, ptrdiff_t,
s16*, ptrdiff_t,
const ptrdiff_t &mapstep, s32** mag_buf,
size_t i, const s16* &_x, const s16* &_y)
{
mag_buf[2][0] = mag_buf[2][size.width+1] = 0;
if (i < size.height - borderyb)
{
const u8* _src = internal::getRowPtr(srcBase, srcStride, i+1);
//sobelH row #i+1
sobelRow(_src, ((s16*)mag_buf[2]) + shxOffset, ((s16*)mag_buf[2]) + shyOffset, size.width);
ColFilter3x3Canny<L2gradient>( ((s16*)mag_buf[0]) + shxOffset, ((s16*)mag_buf[1]) + shxOffset, ((s16*)mag_buf[2]) + shxOffset,
((s16*)mag_buf[2]) + dxOffset, ((s16*)mag_buf[2]) + dyOffset, mag_buf[2] + 1, size.width);
}
else if (i < size.height)
{
ColFilter3x3Canny<L2gradient>( ((s16*)mag_buf[0]) + shxOffset, ((s16*)mag_buf[1]) + shxOffset, ((s16*)mag_buf[1]) + shxOffset,
((s16*)mag_buf[2]) + dxOffset, ((s16*)mag_buf[2]) + dyOffset, mag_buf[2] + 1, size.width);
}
else
memset(mag_buf[2], 0, mapstep*sizeof(s32));
_x = ((s16*)mag_buf[1]) + dxOffset;
_y = ((s16*)mag_buf[1]) + dyOffset;
}
};
template <bool L2gradient>
struct _normEstimator<L2gradient, true>
{
std::vector<u8> buffer;
inline _normEstimator(const Size2D &size, s32 cn, Margin,
ptrdiff_t &mapstep, s32** mag_buf, u8* &map)
{
mapstep = size.width + 2;
buffer.resize( (size.width+2)*(size.height+2) + cn*mapstep*3*sizeof(s32) );
mag_buf[0] = (s32*)&buffer[0];
mag_buf[1] = mag_buf[0] + mapstep*cn;
mag_buf[2] = mag_buf[1] + mapstep*cn;
memset(mag_buf[0], 0, /* cn* */mapstep * sizeof(s32));
map = (u8*)(mag_buf[2] + mapstep*cn);
memset(map, 1, mapstep);
memset(map + mapstep*(size.height + 1), 1, mapstep);
}
inline void firstRow(const Size2D &size, s32 cn,
const u8 *, ptrdiff_t,
s16* dxBase, ptrdiff_t dxStride,
s16* dyBase, ptrdiff_t dyStride,
s32** mag_buf)
{
s32* _norm = mag_buf[1] + 1;
s16* _dx = internal::getRowPtr(dxBase, dxStride, 0);
s16* _dy = internal::getRowPtr(dyBase, dyStride, 0);
NormCanny<L2gradient>(size.width*cn, _dx, _dy, _norm);
if(cn > 1)
{
for(size_t j = 0, jn = 0; j < size.width; ++j, jn += cn)
{
size_t maxIdx = jn;
for(s32 k = 1; k < cn; ++k)
if(_norm[jn + k] > _norm[maxIdx]) maxIdx = jn + k;
_norm[j] = _norm[maxIdx];
_dx[j] = _dx[maxIdx];
_dy[j] = _dy[maxIdx];
}
}
_norm[-1] = _norm[size.width] = 0;
}
inline void nextRow(const Size2D &size, s32 cn,
const u8 *, ptrdiff_t,
s16* dxBase, ptrdiff_t dxStride,
s16* dyBase, ptrdiff_t dyStride,
const ptrdiff_t &mapstep, s32** mag_buf,
size_t i, const s16* &_x, const s16* &_y)
{
s32* _norm = mag_buf[(i > 0) + 1] + 1;
if (i < size.height)
{
s16* _dx = internal::getRowPtr(dxBase, dxStride, i);
s16* _dy = internal::getRowPtr(dyBase, dyStride, i);
NormCanny<L2gradient>(size.width*cn, _dx, _dy, _norm);
if(cn > 1)
{
for(size_t j = 0, jn = 0; j < size.width; ++j, jn += cn)
{
size_t maxIdx = jn;
for(s32 k = 1; k < cn; ++k)
if(_norm[jn + k] > _norm[maxIdx]) maxIdx = jn + k;
_norm[j] = _norm[maxIdx];
_dx[j] = _dx[maxIdx];
_dy[j] = _dy[maxIdx];
}
}
_norm[-1] = _norm[size.width] = 0;
}
else
memset(_norm-1, 0, /* cn* */mapstep*sizeof(s32));
_x = internal::getRowPtr(dxBase, dxStride, i-1);
_y = internal::getRowPtr(dyBase, dyStride, i-1);
}
};
template <bool L2gradient, bool externalSobel>
inline void Canny3x3(const Size2D &size, s32 cn,
const u8 * srcBase, ptrdiff_t srcStride,
u8 * dstBase, ptrdiff_t dstStride,
s16 * dxBase, ptrdiff_t dxStride,
s16 * dyBase, ptrdiff_t dyStride,
f64 low_thresh, f64 high_thresh,
Margin borderMargin)
{
s32 low, high;
prepareThresh<L2gradient>(low_thresh, high_thresh, low, high);
ptrdiff_t mapstep;
s32* mag_buf[3];
u8* map;
_normEstimator<L2gradient, externalSobel> normEstimator(size, cn, borderMargin, mapstep, mag_buf, map);
size_t maxsize = std::max<size_t>( 1u << 10, size.width * size.height / 10 );
std::vector<u8*> stack( maxsize );
u8 **stack_top = &stack[0];
u8 **stack_bottom = &stack[0];
/* sector numbers
(Top-Left Origin)
1 2 3
* * *
* * *
0*******0
* * *
* * *
3 2 1
*/
#define CANNY_PUSH(d) *(d) = u8(2), *stack_top++ = (d)
#define CANNY_POP(d) (d) = *--stack_top
//i == 0
normEstimator.firstRow(size, cn, srcBase, srcStride, dxBase, dxStride, dyBase, dyStride, mag_buf);
// calculate magnitude and angle of gradient, perform non-maxima supression.
// fill the map with one of the following values:
// 0 - the pixel might belong to an edge
// 1 - the pixel can not belong to an edge
// 2 - the pixel does belong to an edge
for (size_t i = 1; i <= size.height; i++)
{
const s16 *_x, *_y;
normEstimator.nextRow(size, cn, srcBase, srcStride, dxBase, dxStride, dyBase, dyStride, mapstep, mag_buf, i, _x, _y);
u8* _map = map + mapstep*i + 1;
_map[-1] = _map[size.width] = 1;
s32* _mag = mag_buf[1] + 1; // take the central row
ptrdiff_t magstep1 = mag_buf[2] - mag_buf[1];
ptrdiff_t magstep2 = mag_buf[0] - mag_buf[1];
if ((stack_top - stack_bottom) + size.width > maxsize)
{
ptrdiff_t sz = (ptrdiff_t)(stack_top - stack_bottom);
maxsize = maxsize * 3/2;
stack.resize(maxsize);
stack_bottom = &stack[0];
stack_top = stack_bottom + sz;
}
s32 prev_flag = 0;
for (ptrdiff_t j = 0; j < (ptrdiff_t)size.width; j++)
{
#define CANNY_SHIFT 15
const s32 TG22 = (s32)(0.4142135623730950488016887242097*(1<<CANNY_SHIFT) + 0.5);
s32 m = _mag[j];
if (m > low)
{
s32 xs = _x[j];
s32 ys = _y[j];
s32 x = abs(xs);
s32 y = abs(ys) << CANNY_SHIFT;
s32 tg22x = x * TG22;
if (y < tg22x)
{
if (m > _mag[j-1] && m >= _mag[j+1]) goto __push;
}
else
{
s32 tg67x = tg22x + (x << (CANNY_SHIFT+1));
if (y > tg67x)
{
if (m > _mag[j+magstep2] && m >= _mag[j+magstep1]) goto __push;
}
else
{
s32 s = (xs ^ ys) < 0 ? -1 : 1;
if(m > _mag[j+magstep2-s] && m > _mag[j+magstep1+s]) goto __push;
}
}
}
prev_flag = 0;
_map[j] = u8(1);
continue;
__push:
if (!prev_flag && m > high && _map[j-mapstep] != 2)
{
CANNY_PUSH(_map + j);
prev_flag = 1;
}
else
_map[j] = 0;
}
// scroll the ring buffer
_mag = mag_buf[0];
mag_buf[0] = mag_buf[1];
mag_buf[1] = mag_buf[2];
mag_buf[2] = _mag;
}
// now track the edges (hysteresis thresholding)
while (stack_top > stack_bottom)
{
u8* m;
if ((size_t)(stack_top - stack_bottom) + 8u > maxsize)
{
ptrdiff_t sz = (ptrdiff_t)(stack_top - stack_bottom);
maxsize = maxsize * 3/2;
stack.resize(maxsize);
stack_bottom = &stack[0];
stack_top = stack_bottom + sz;
}
CANNY_POP(m);
if (!m[-1]) CANNY_PUSH(m - 1);
if (!m[1]) CANNY_PUSH(m + 1);
if (!m[-mapstep-1]) CANNY_PUSH(m - mapstep - 1);
if (!m[-mapstep]) CANNY_PUSH(m - mapstep);
if (!m[-mapstep+1]) CANNY_PUSH(m - mapstep + 1);
if (!m[mapstep-1]) CANNY_PUSH(m + mapstep - 1);
if (!m[mapstep]) CANNY_PUSH(m + mapstep);
if (!m[mapstep+1]) CANNY_PUSH(m + mapstep + 1);
}
// the final pass, form the final image
uint8x16_t v2 = vmovq_n_u8(2);
const u8* ptrmap = map + mapstep + 1;
for (size_t i = 0; i < size.height; i++, ptrmap += mapstep)
{
u8* _dst = internal::getRowPtr(dstBase, dstStride, i);
ptrdiff_t j = 0;
for (; j < (ptrdiff_t)size.width - 16; j += 16)
{
internal::prefetch(ptrmap);
uint8x16_t vmap = vld1q_u8(ptrmap + j);
uint8x16_t vdst = vceqq_u8(vmap, v2);
vst1q_u8(_dst+j, vdst);
}
for (; j < (ptrdiff_t)size.width; j++)
_dst[j] = (u8)-(ptrmap[j] >> 1);
}
}
} // namespace
#endif
bool isCanny3x3Supported(const Size2D &size)
{
return isSupportedConfiguration() &&
size.height >= 2 && size.width >= 9;
}
void Canny3x3L1(const Size2D &size,
const u8 * srcBase, ptrdiff_t srcStride,
u8 * dstBase, ptrdiff_t dstStride,
f64 low_thresh, f64 high_thresh,
Margin borderMargin)
{
internal::assertSupportedConfiguration(isCanny3x3Supported(size));
#ifdef CAROTENE_NEON
Canny3x3<false, false>(size, 1,
srcBase, srcStride,
dstBase, dstStride,
NULL, 0,
NULL, 0,
low_thresh, high_thresh,
borderMargin);
#else
(void)size;
(void)srcBase;
(void)srcStride;
(void)dstBase;
(void)dstStride;
(void)low_thresh;
(void)high_thresh;
(void)borderMargin;
#endif
}
void Canny3x3L2(const Size2D &size,
const u8 * srcBase, ptrdiff_t srcStride,
u8 * dstBase, ptrdiff_t dstStride,
f64 low_thresh, f64 high_thresh,
Margin borderMargin)
{
internal::assertSupportedConfiguration(isCanny3x3Supported(size));
#ifdef CAROTENE_NEON
Canny3x3<true, false>(size, 1,
srcBase, srcStride,
dstBase, dstStride,
NULL, 0,
NULL, 0,
low_thresh, high_thresh,
borderMargin);
#else
(void)size;
(void)srcBase;
(void)srcStride;
(void)dstBase;
(void)dstStride;
(void)low_thresh;
(void)high_thresh;
(void)borderMargin;
#endif
}
void Canny3x3L1(const Size2D &size, s32 cn,
s16 * dxBase, ptrdiff_t dxStride,
s16 * dyBase, ptrdiff_t dyStride,
u8 * dstBase, ptrdiff_t dstStride,
f64 low_thresh, f64 high_thresh)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
Canny3x3<false, true>(size, cn,
NULL, 0,
dstBase, dstStride,
dxBase, dxStride,
dyBase, dyStride,
low_thresh, high_thresh,
Margin());
#else
(void)size;
(void)cn;
(void)dstBase;
(void)dstStride;
(void)dxBase;
(void)dxStride;
(void)dyBase;
(void)dyStride;
(void)low_thresh;
(void)high_thresh;
#endif
}
void Canny3x3L2(const Size2D &size, s32 cn,
s16 * dxBase, ptrdiff_t dxStride,
s16 * dyBase, ptrdiff_t dyStride,
u8 * dstBase, ptrdiff_t dstStride,
f64 low_thresh, f64 high_thresh)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
Canny3x3<true, true>(size, cn,
NULL, 0,
dstBase, dstStride,
dxBase, dxStride,
dyBase, dyStride,
low_thresh, high_thresh,
Margin());
#else
(void)size;
(void)cn;
(void)dstBase;
(void)dstStride;
(void)dxBase;
(void)dxStride;
(void)dyBase;
(void)dyStride;
(void)low_thresh;
(void)high_thresh;
#endif
}
} // namespace CAROTENE_NS
+486
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@@ -0,0 +1,486 @@
/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2014-2015, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#include "common.hpp"
#include "vtransform.hpp"
namespace CAROTENE_NS {
void extract2(const Size2D &size,
const u8 * srcBase, ptrdiff_t srcStride,
u8 * dstBase, ptrdiff_t dstStride,
u32 coi)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
#ifndef __ANDROID__
size_t roiw32 = size.width >= 31 ? size.width - 31 : 0;
#endif
size_t roiw8 = size.width >= 7 ? size.width - 7 : 0;
for (size_t i = 0u; i < size.height; ++i)
{
const u8 * src = internal::getRowPtr(srcBase, srcStride, i);
u8 * dst = internal::getRowPtr(dstBase, dstStride, i);
size_t sj = 0u, dj = 0u;
#ifndef __ANDROID__
for (; dj < roiw32; sj += 64, dj += 32)
{
internal::prefetch(src + sj);
uint8x16x2_t v_src = vld2q_u8(src + sj);
vst1q_u8(dst + dj, v_src.val[coi]);
v_src = vld2q_u8(src + sj + 32);
vst1q_u8(dst + dj + 16, v_src.val[coi]);
}
#endif
for (; dj < roiw8; sj += 16, dj += 8)
{
uint8x8x2_t v_src = vld2_u8(src + sj);
vst1_u8(dst + dj, v_src.val[coi]);
}
for (; dj < size.width; sj += 2, ++dj)
{
dst[dj] = src[sj + coi];
}
}
#else
(void)size;
(void)srcBase;
(void)srcStride;
(void)dstBase;
(void)dstStride;
(void)coi;
#endif
}
void extract3(const Size2D &size,
const u8 * srcBase, ptrdiff_t srcStride,
u8 * dstBase, ptrdiff_t dstStride,
u32 coi)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
#ifndef __ANDROID__
size_t roiw32 = size.width >= 31 ? size.width - 31 : 0;
#endif
size_t roiw8 = size.width >= 7 ? size.width - 7 : 0;
for (size_t i = 0u; i < size.height; ++i)
{
const u8 * src = internal::getRowPtr(srcBase, srcStride, i);
u8 * dst = internal::getRowPtr(dstBase, dstStride, i);
size_t sj = 0u, dj = 0u;
#ifndef __ANDROID__
for (; dj < roiw32; sj += 96, dj += 32)
{
internal::prefetch(src + sj);
uint8x16x3_t v_src = vld3q_u8(src + sj);
vst1q_u8(dst + dj, v_src.val[coi]);
v_src = vld3q_u8(src + sj + 48);
vst1q_u8(dst + dj + 16, v_src.val[coi]);
}
#endif
for (; dj < roiw8; sj += 24, dj += 8)
{
uint8x8x3_t v_src = vld3_u8(src + sj);
vst1_u8(dst + dj, v_src.val[coi]);
}
for (; dj < size.width; sj += 3, ++dj)
{
dst[dj] = src[sj + coi];
}
}
#else
(void)size;
(void)srcBase;
(void)srcStride;
(void)dstBase;
(void)dstStride;
(void)coi;
#endif
}
void extract4(const Size2D &size,
const u8 * srcBase, ptrdiff_t srcStride,
u8 * dstBase, ptrdiff_t dstStride,
u32 coi)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
#ifndef __ANDROID__
size_t roiw32 = size.width >= 31 ? size.width - 31 : 0;
#endif
size_t roiw8 = size.width >= 7 ? size.width - 7 : 0;
for (size_t i = 0u; i < size.height; ++i)
{
const u8 * src = internal::getRowPtr(srcBase, srcStride, i);
u8 * dst = internal::getRowPtr(dstBase, dstStride, i);
size_t sj = 0u, dj = 0u;
#ifndef __ANDROID__
for (; dj < roiw32; sj += 128, dj += 32)
{
internal::prefetch(src + sj);
uint8x16x4_t v_src = vld4q_u8(src + sj);
vst1q_u8(dst + dj, v_src.val[coi]);
v_src = vld4q_u8(src + sj + 64);
vst1q_u8(dst + dj + 16, v_src.val[coi]);
}
#endif
for (; dj < roiw8; sj += 32, dj += 8)
{
uint8x8x4_t v_src = vld4_u8(src + sj);
vst1_u8(dst + dj, v_src.val[coi]);
}
for (; dj < size.width; sj += 4, ++dj)
{
dst[dj] = src[sj + coi];
}
}
#else
(void)size;
(void)srcBase;
(void)srcStride;
(void)dstBase;
(void)dstStride;
(void)coi;
#endif
}
#define FILL_LINES2(macro,type) \
macro##_LINE(type,0) \
macro##_LINE(type,1)
#define FILL_LINES3(macro,type) \
FILL_LINES2(macro,type) \
macro##_LINE(type,2)
#define FILL_LINES4(macro,type) \
FILL_LINES3(macro,type) \
macro##_LINE(type,3)
#define FARG_LINE(type, n) , type * dst##n##Base, ptrdiff_t dst##n##Stride
#ifdef CAROTENE_NEON
#define VROW_LINE(type, n) type * dst##n = internal::getRowPtr(dst##n##Base, dst##n##Stride, i);
#define VST1Q_LINE(type, n) vst1q_##type(dst##n + dj, v_src.val[n]);
#define VST1_LINE(type, n) vst1_##type(dst##n + dj, v_src.val[n]);
#define SST_LINE(type, n) dst##n[dj] = src[sj + n];
#define MUL2(val) (val << 1)
#define MUL3(val) (MUL2(val) + val)
#define MUL4(val) (val << 2)
#define CONTDST2 srcStride == dst0Stride && \
srcStride == dst1Stride &&
#define CONTDST3 srcStride == dst0Stride && \
srcStride == dst1Stride && \
srcStride == dst2Stride &&
#define CONTDST4 srcStride == dst0Stride && \
srcStride == dst1Stride && \
srcStride == dst2Stride && \
srcStride == dst3Stride &&
#if !defined(__aarch64__) && defined(__GNUC__) && __GNUC__ == 4 && __GNUC_MINOR__ < 7 && !defined(__clang__)
#define SPLIT_ASM2(sgn, bits) __asm__ ( \
"vld2." #bits " {d0, d2}, [%[in0]] \n\t" \
"vld2." #bits " {d1, d3}, [%[in1]] \n\t" \
"vst1." #bits " {d0-d1}, [%[out0]] \n\t" \
"vst1." #bits " {d2-d3}, [%[out1]] \n\t" \
: \
: [out0] "r" (dst0 + dj), [out1] "r" (dst1 + dj), \
[in0] "r" (src + sj), [in1] "r" (src + sj + MUL2(8)/sizeof(sgn##bits)) \
: "d0","d1","d2","d3" \
);
#define SPLIT_ASM3(sgn, bits) __asm__ ( \
"vld3." #bits " {d0, d2, d4}, [%[in0]] \n\t" \
"vld3." #bits " {d1, d3, d5}, [%[in1]] \n\t" \
"vst1." #bits " {d0-d1}, [%[out0]] \n\t" \
"vst1." #bits " {d2-d3}, [%[out1]] \n\t" \
"vst1." #bits " {d4-d5}, [%[out2]] \n\t" \
: \
: [out0] "r" (dst0 + dj), [out1] "r" (dst1 + dj), [out2] "r" (dst2 + dj), \
[in0] "r" (src + sj), [in1] "r" (src + sj + MUL3(8)/sizeof(sgn##bits)) \
: "d0","d1","d2","d3","d4","d5" \
);
#define SPLIT_ASM4(sgn, bits) __asm__ ( \
"vld4." #bits " {d0, d2, d4, d6}, [%[in0]] \n\t" \
"vld4." #bits " {d1, d3, d5, d7}, [%[in1]] \n\t" \
"vst1." #bits " {d0-d1}, [%[out0]] \n\t" \
"vst1." #bits " {d2-d3}, [%[out1]] \n\t" \
"vst1." #bits " {d4-d5}, [%[out2]] \n\t" \
"vst1." #bits " {d6-d7}, [%[out3]] \n\t" \
: \
: [out0] "r" (dst0 + dj), [out1] "r" (dst1 + dj), [out2] "r" (dst2 + dj), [out3] "r" (dst3 + dj), \
[in0] "r" (src + sj), [in1] "r" (src + sj + MUL4(8)/sizeof(sgn##bits)) \
: "d0","d1","d2","d3","d4","d5","d6","d7" \
);
#define SPLIT_QUAD(sgn, bits, n) { \
internal::prefetch(src + sj); \
SPLIT_ASM##n(sgn, bits) \
}
#else
#define SPLIT_QUAD(sgn, bits, n) { \
internal::prefetch(src + sj); \
vec128 v_src = vld##n##q_##sgn##bits(src + sj); \
FILL_LINES##n(VST1Q, sgn##bits) \
}
#endif
#define SPLIT(sgn,bits,n) void split##n(const Size2D &_size, \
const sgn##bits * srcBase, ptrdiff_t srcStride \
FILL_LINES##n(FARG, sgn##bits) ) \
{ \
internal::assertSupportedConfiguration(); \
Size2D size(_size); \
if (CONTDST##n \
dst0Stride == (ptrdiff_t)(size.width)) \
{ \
size.width *= size.height; \
size.height = 1; \
} \
typedef internal::VecTraits<sgn##bits, n>::vec128 vec128; \
size_t roiw16 = size.width >= (16/sizeof(sgn##bits)-1) ? size.width - (16/sizeof(sgn##bits)-1) : 0; \
typedef internal::VecTraits<sgn##bits, n>::vec64 vec64; \
size_t roiw8 = size.width >= (8/sizeof(sgn##bits)-1) ? size.width - (8/sizeof(sgn##bits)-1) : 0; \
\
for (size_t i = 0u; i < size.height; ++i) \
{ \
const sgn##bits * src = internal::getRowPtr(srcBase, srcStride, i); \
FILL_LINES##n(VROW, sgn##bits) \
size_t sj = 0u, dj = 0u; \
\
for (; dj < roiw16; sj += MUL##n(16)/sizeof(sgn##bits), dj += 16/sizeof(sgn##bits)) \
SPLIT_QUAD(sgn, bits, n) \
\
if (dj < roiw8) \
{ \
vec64 v_src = vld##n##_##sgn##bits(src + sj); \
FILL_LINES##n(VST1, sgn##bits) \
sj += MUL##n(8)/sizeof(sgn##bits); \
dj += 8/sizeof(sgn##bits); \
} \
\
for (; dj < size.width; sj += n, ++dj) \
{ \
FILL_LINES##n(SST, sgn##bits) \
} \
} \
}
#define SPLIT64(sgn,n) void split##n(const Size2D &_size, \
const sgn##64 * srcBase, ptrdiff_t srcStride \
FILL_LINES##n(FARG, sgn##64) ) \
{ \
internal::assertSupportedConfiguration(); \
Size2D size(_size); \
if (CONTDST##n \
dst0Stride == (ptrdiff_t)(size.width)) \
{ \
size.width *= size.height; \
size.height = 1; \
} \
typedef internal::VecTraits<sgn##64, n>::vec64 vec64; \
\
for (size_t i = 0u; i < size.height; ++i) \
{ \
const sgn##64 * src = internal::getRowPtr(srcBase, srcStride, i); \
FILL_LINES##n(VROW, sgn##64) \
size_t sj = 0u, dj = 0u; \
\
for (; dj < size.width; sj += n, ++dj) \
{ \
vec64 v_src = vld##n##_##sgn##64(src + sj); \
FILL_LINES##n(VST1, sgn##64) \
} \
} \
}
#if !defined(__aarch64__) && defined(__GNUC__) && __GNUC__ == 4 && __GNUC_MINOR__ < 7 && !defined(__clang__)
#define ALPHA_QUAD(sgn, bits) { \
internal::prefetch(src + sj); \
__asm__ ( \
"vld4." #bits " {d0, d2, d4, d6}, [%[in0]] \n\t" \
"vld4." #bits " {d1, d3, d5, d7}, [%[in1]] \n\t" \
"vst3." #bits " {d0, d2, d4}, [%[out3_1]] \n\t" \
"vst3." #bits " {d1, d3, d5}, [%[out3_2]] \n\t" \
"vst1." #bits " {d6-d7}, [%[out1]] \n\t" \
: \
: [out3_1] "r" (dst3 + d3j), [out3_2] "r" (dst3 + d3j + 24/sizeof(sgn##bits)), [out1] "r" (dst1 + d1j), \
[in0] "r" (src + sj), [in1] "r" (src + sj + 32/sizeof(sgn##bits)) \
: "d0","d1","d2","d3","d4","d5","d6","d7" \
); \
}
#else
#define ALPHA_QUAD(sgn, bits) { \
internal::prefetch(src + sj); \
union { vec128_4 v4; vec128_3 v3; } vals; \
vals.v4 = vld4q_##sgn##bits(src + sj); \
vst3q_##sgn##bits(dst3 + d3j, vals.v3); \
vst1q_##sgn##bits(dst1 + d1j, vals.v4.val[3]); \
}
#endif
#define SPLIT4ALPHA(sgn,bits) void split4(const Size2D &_size, \
const sgn##bits * srcBase, ptrdiff_t srcStride, \
sgn##bits * dst3Base, ptrdiff_t dst3Stride, \
sgn##bits * dst1Base, ptrdiff_t dst1Stride) \
{ \
internal::assertSupportedConfiguration(); \
Size2D size(_size); \
if (srcStride == dst3Stride && \
srcStride == dst1Stride && \
srcStride == (ptrdiff_t)(size.width)) \
{ \
size.width *= size.height; \
size.height = 1; \
} \
typedef internal::VecTraits<sgn##bits, 4>::vec128 vec128_4; \
typedef internal::VecTraits<sgn##bits, 3>::vec128 vec128_3; \
size_t roiw16 = size.width >= (16/sizeof(sgn##bits)-1) ? size.width - (16/sizeof(sgn##bits)-1) : 0; \
typedef internal::VecTraits<sgn##bits, 4>::vec64 vec64_4; \
typedef internal::VecTraits<sgn##bits, 3>::vec64 vec64_3; \
size_t roiw8 = size.width >= (8/sizeof(sgn##bits)-1) ? size.width - (8/sizeof(sgn##bits)-1) : 0; \
\
for (size_t i = 0u; i < size.height; ++i) \
{ \
const sgn##bits * src = internal::getRowPtr(srcBase, srcStride, i); \
sgn##bits * dst3 = internal::getRowPtr(dst3Base, dst3Stride, i); \
sgn##bits * dst1 = internal::getRowPtr(dst1Base, dst1Stride, i); \
size_t sj = 0u, d3j = 0u, d1j = 0u; \
\
for (; d1j < roiw16; sj += MUL4(16)/sizeof(sgn##bits), d3j += MUL3(16)/sizeof(sgn##bits), \
d1j += 16/sizeof(sgn##bits)) \
ALPHA_QUAD(sgn, bits) \
\
if (d1j < roiw8) \
{ \
union { vec64_4 v4; vec64_3 v3; } vals; \
vals.v4 = vld4_##sgn##bits(src + sj); \
vst3_u8(dst3 + d3j, vals.v3); \
vst1_u8(dst1 + d1j, vals.v4.val[3]); \
sj += MUL4(8)/sizeof(sgn##bits); \
d3j += MUL3(8)/sizeof(sgn##bits); \
d1j += 8/sizeof(sgn##bits); \
} \
\
for (; d1j < size.width; sj += 4, d3j += 3, ++d1j) \
{ \
dst3[d3j+0] = src[sj + 0]; \
dst3[d3j+1] = src[sj + 1]; \
dst3[d3j+2] = src[sj + 2]; \
dst1[d1j] = src[sj + 3]; \
} \
} \
}
#else
#define VOID_LINE(type, n) (void)dst##n##Base; (void)dst##n##Stride;
#define SPLIT(sgn,bits,n) void split##n(const Size2D &size, \
const sgn##bits * srcBase, ptrdiff_t srcStride \
FILL_LINES##n(FARG, sgn##bits) ) \
{ \
internal::assertSupportedConfiguration(); \
(void)size; \
(void)srcBase; \
(void)srcStride; \
FILL_LINES##n(VOID, sgn##bits) \
}
#define SPLIT64(sgn,n) SPLIT(sgn,64,n)
#define SPLIT4ALPHA(sgn,bits) void split4(const Size2D &size, \
const sgn##bits * srcBase, ptrdiff_t srcStride, \
sgn##bits * dst3Base, ptrdiff_t dst3Stride, \
sgn##bits * dst1Base, ptrdiff_t dst1Stride) \
{ \
internal::assertSupportedConfiguration(); \
(void)size; \
(void)srcBase; \
(void)srcStride; \
(void)dst3Base; \
(void)dst3Stride; \
(void)dst1Base; \
(void)dst1Stride; \
}
#endif //CAROTENE_NEON
SPLIT(u, 8,2)
SPLIT(u, 8,3)
SPLIT(u, 8,4)
SPLIT(u,16,2)
SPLIT(u,16,3)
SPLIT(u,16,4)
SPLIT(s,32,2)
SPLIT(s,32,3)
SPLIT(s,32,4)
SPLIT64(s, 2)
SPLIT64(s, 3)
SPLIT64(s, 4)
SPLIT4ALPHA(u,8)
} // namespace CAROTENE_NS
+389
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@@ -0,0 +1,389 @@
/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2014-2015, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#include "common.hpp"
#include "vtransform.hpp"
namespace CAROTENE_NS {
#define FILL_LINES2(macro,type) \
macro##_LINE(type,0) \
macro##_LINE(type,1)
#define FILL_LINES3(macro,type) \
FILL_LINES2(macro,type) \
macro##_LINE(type,2)
#define FILL_LINES4(macro,type) \
FILL_LINES3(macro,type) \
macro##_LINE(type,3)
#define FARG_LINE(type, n) , const type * src##n##Base, ptrdiff_t src##n##Stride
#ifdef CAROTENE_NEON
#define VROW_LINE(type, n) const type * src##n = internal::getRowPtr(src##n##Base, src##n##Stride, i);
#define PREF_LINE(type, n) internal::prefetch(src##n + sj);
#define VLD1Q_LINE(type, n) v_dst.val[n] = vld1q_##type(src##n + sj);
#define PRLD_LINE(type, n) internal::prefetch(src##n + sj); v_dst.val[n] = vld1q_##type(src##n + sj);
#define VLD1_LINE(type, n) v_dst.val[n] = vld1_##type(src##n + sj);
#define SLD_LINE(type, n) dst[dj + n] = src##n[sj];
#define MUL2(val) (val << 1)
#define MUL3(val) (MUL2(val) + val)
#define MUL4(val) (val << 2)
#define CONTSRC2 dstStride == src0Stride && \
dstStride == src1Stride &&
#define CONTSRC3 dstStride == src0Stride && \
dstStride == src1Stride && \
dstStride == src2Stride &&
#define CONTSRC4 dstStride == src0Stride && \
dstStride == src1Stride && \
dstStride == src2Stride && \
dstStride == src3Stride &&
#if !defined(__aarch64__) && defined(__GNUC__) && __GNUC__ == 4 && __GNUC_MINOR__ < 7 && !defined(__clang__)
#define MERGE_ASM2(sgn, bits) __asm__ ( \
"vld1." #bits " {d0-d1}, [%[in0]] \n\t" \
"vld1." #bits " {d2-d3}, [%[in1]] \n\t" \
"vst2." #bits " {d0, d2}, [%[out0]] \n\t" \
"vst2." #bits " {d1, d3}, [%[out1]] \n\t" \
: \
: [in0] "r" (src0 + sj), [in1] "r" (src1 + sj), \
[out0] "r" (dst + dj), [out1] "r" (dst + dj + MUL2(8)/sizeof(sgn##bits)) \
: "d0","d1","d2","d3" \
);
#define MERGE_ASM3(sgn, bits) __asm__ ( \
"vld1." #bits " {d0-d1}, [%[in0]] \n\t" \
"vld1." #bits " {d2-d3}, [%[in1]] \n\t" \
"vld1." #bits " {d4-d5}, [%[in2]] \n\t" \
"vst3." #bits " {d0, d2, d4}, [%[out0]] \n\t" \
"vst3." #bits " {d1, d3, d5}, [%[out1]] \n\t" \
: \
: [in0] "r" (src0 + sj), [in1] "r" (src1 + sj), [in2] "r" (src2 + sj), \
[out0] "r" (dst + dj), [out1] "r" (dst + dj + MUL3(8)/sizeof(sgn##bits)) \
: "d0","d1","d2","d3","d4","d5" \
);
#define MERGE_ASM4(sgn, bits) __asm__ ( \
"vld1." #bits " {d0-d1}, [%[in0]] \n\t" \
"vld1." #bits " {d2-d3}, [%[in1]] \n\t" \
"vld1." #bits " {d4-d5}, [%[in2]] \n\t" \
"vld1." #bits " {d6-d7}, [%[in3]] \n\t" \
"vst4." #bits " {d0, d2, d4, d6}, [%[out0]] \n\t" \
"vst4." #bits " {d1, d3, d5, d7}, [%[out1]] \n\t" \
: \
: [in0] "r" (src0 + sj), [in1] "r" (src1 + sj), [in2] "r" (src2 + sj), [in3] "r" (src3 + sj), \
[out0] "r" (dst + dj), [out1] "r" (dst + dj + MUL4(8)/sizeof(sgn##bits)) \
: "d0","d1","d2","d3","d4","d5","d6","d7" \
);
#define MERGE_QUAD(sgn, bits, n) { \
FILL_LINES##n(PREF, sgn##bits) \
MERGE_ASM##n(sgn, bits) \
}
#else
#define MERGE_QUAD(sgn, bits, n) { \
vec128 v_dst; \
/*FILL_LINES##n(PREF, sgn##bits) \
FILL_LINES##n(VLD1Q, sgn##bits)*/ \
FILL_LINES##n(PRLD, sgn##bits) \
vst##n##q_##sgn##bits(dst + dj, v_dst); \
}
#endif
#define COMBINE(sgn,bits,n) void combine##n(const Size2D &_size \
FILL_LINES##n(FARG, sgn##bits), \
sgn##bits * dstBase, ptrdiff_t dstStride) \
{ \
internal::assertSupportedConfiguration(); \
Size2D size(_size); \
if (CONTSRC##n \
dstStride == (ptrdiff_t)(size.width)) \
{ \
size.width *= size.height; \
size.height = 1; \
} \
typedef internal::VecTraits<sgn##bits, n>::vec128 vec128; \
size_t roiw16 = size.width >= (16/sizeof(sgn##bits) - 1) ? size.width - (16/sizeof(sgn##bits) - 1) : 0; \
typedef internal::VecTraits<sgn##bits, n>::vec64 vec64; \
size_t roiw8 = size.width >= (8/sizeof(sgn##bits) - 1) ? size.width - (8/sizeof(sgn##bits) - 1) : 0; \
\
for (size_t i = 0u; i < size.height; ++i) \
{ \
FILL_LINES##n(VROW, sgn##bits) \
sgn##bits * dst = internal::getRowPtr(dstBase, dstStride, i); \
size_t sj = 0u, dj = 0u; \
\
for (; sj < roiw16; sj += 16/sizeof(sgn##bits), dj += MUL##n(16)/sizeof(sgn##bits)) \
MERGE_QUAD(sgn, bits, n) \
\
if ( sj < roiw8 ) \
{ \
vec64 v_dst; \
FILL_LINES##n(VLD1, sgn##bits) \
vst##n##_##sgn##bits(dst + dj, v_dst); \
sj += 8/sizeof(sgn##bits); dj += MUL##n(8)/sizeof(sgn##bits); \
} \
\
for (; sj < size.width; ++sj, dj += n) \
{ \
FILL_LINES##n(SLD, sgn##bits) \
} \
} \
}
#define COMBINE64(sgn,n) void combine##n(const Size2D &_size \
FILL_LINES##n(FARG, sgn##64), \
sgn##64 * dstBase, ptrdiff_t dstStride) \
{ \
internal::assertSupportedConfiguration(); \
Size2D size(_size); \
if (CONTSRC##n \
dstStride == (ptrdiff_t)(size.width)) \
{ \
size.width *= size.height; \
size.height = 1; \
} \
typedef internal::VecTraits<sgn##64, n>::vec64 vec64; \
\
for (size_t i = 0u; i < size.height; ++i) \
{ \
FILL_LINES##n(VROW, sgn##64) \
sgn##64 * dst = internal::getRowPtr(dstBase, dstStride, i); \
size_t sj = 0u, dj = 0u; \
\
for (; sj < size.width; ++sj, dj += n) \
{ \
vec64 v_dst; \
FILL_LINES##n(VLD1, sgn##64) \
vst##n##_##sgn##64(dst + dj, v_dst); \
/*FILL_LINES##n(SLD, sgn##64)*/ \
} \
} \
}
#else
#define VOID_LINE(type, n) (void)src##n##Base; (void)src##n##Stride;
#define COMBINE(sgn,bits,n) void combine##n(const Size2D &size \
FILL_LINES##n(FARG, sgn##bits), \
sgn##bits * dstBase, ptrdiff_t dstStride) \
{ \
internal::assertSupportedConfiguration(); \
(void)size; \
FILL_LINES##n(VOID, sgn##bits) \
(void)dstBase; \
(void)dstStride; \
}
#define COMBINE64(sgn,n) COMBINE(sgn,64,n)
#endif //CAROTENE_NEON
COMBINE(u, 8,2)
COMBINE(u, 8,3)
COMBINE(u, 8,4)
COMBINE(u,16,2)
COMBINE(u,16,3)
COMBINE(u,16,4)
COMBINE(s,32,2)
COMBINE(s,32,3)
COMBINE(s,32,4)
COMBINE64(s, 2)
COMBINE64(s, 3)
COMBINE64(s, 4)
void combineYUYV(const Size2D &size,
const u8 * srcyBase, ptrdiff_t srcyStride,
const u8 * srcuBase, ptrdiff_t srcuStride,
const u8 * srcvBase, ptrdiff_t srcvStride,
u8 * dstBase, ptrdiff_t dstStride)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
#ifndef __ANDROID__
size_t roiw32 = size.width >= 31 ? size.width - 31 : 0;
#endif
size_t roiw8 = size.width >= 7 ? size.width - 7 : 0;
for (size_t i = 0u; i < size.height; i += 1)
{
const u8 * srcy = internal::getRowPtr(srcyBase, srcyStride, i);
const u8 * srcu = internal::getRowPtr(srcuBase, srcuStride, i);
const u8 * srcv = internal::getRowPtr(srcvBase, srcvStride, i);
u8 * dst = internal::getRowPtr(dstBase, dstStride, i);
size_t syj = 0u, sj = 0u, dj = 0u;
#ifndef __ANDROID__
for (; sj < roiw32; sj += 32, syj += 64, dj += 128)
{
internal::prefetch(srcy + syj);
internal::prefetch(srcu + sj);
internal::prefetch(srcv + sj);
uint8x16x2_t v_y = vld2q_u8(srcy + syj);
uint8x16x4_t v_dst;
v_dst.val[0] = v_y.val[0];
v_dst.val[1] = vld1q_u8(srcu + sj);
v_dst.val[2] = v_y.val[1];
v_dst.val[3] = vld1q_u8(srcv + sj);
vst4q_u8(dst + dj, v_dst);
v_y = vld2q_u8(srcy + syj + 32);
v_dst.val[0] = v_y.val[0];
v_dst.val[1] = vld1q_u8(srcu + sj + 16);
v_dst.val[2] = v_y.val[1];
v_dst.val[3] = vld1q_u8(srcv + sj + 16);
vst4q_u8(dst + dj + 64, v_dst);
}
#endif
for (; sj < roiw8; sj += 8, syj += 16, dj += 32)
{
uint8x8x2_t v_y = vld2_u8(srcy + syj);
uint8x8x4_t v_dst;
v_dst.val[0] = v_y.val[0];
v_dst.val[1] = vld1_u8(srcu + sj);
v_dst.val[2] = v_y.val[1];
v_dst.val[3] = vld1_u8(srcv + sj);
vst4_u8(dst + dj, v_dst);
}
for (; sj < size.width; ++sj, syj += 2, dj += 4)
{
dst[dj] = srcy[syj];
dst[dj + 1] = srcu[sj];
dst[dj + 2] = srcy[syj + 1];
dst[dj + 3] = srcv[sj];
}
}
#else
(void)size;
(void)srcyBase;
(void)srcyStride;
(void)srcuBase;
(void)srcuStride;
(void)srcvBase;
(void)srcvStride;
(void)dstBase;
(void)dstStride;
#endif
}
void combineUYVY(const Size2D &size,
const u8 * srcyBase, ptrdiff_t srcyStride,
const u8 * srcuBase, ptrdiff_t srcuStride,
const u8 * srcvBase, ptrdiff_t srcvStride,
u8 * dstBase, ptrdiff_t dstStride)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
#ifndef __ANDROID__
size_t roiw32 = size.width >= 31 ? size.width - 31 : 0;
#endif
size_t roiw8 = size.width >= 7 ? size.width - 7 : 0;
for (size_t i = 0u; i < size.height; ++i)
{
const u8 * srcy = internal::getRowPtr(srcyBase, srcyStride, i);
const u8 * srcu = internal::getRowPtr(srcuBase, srcuStride, i);
const u8 * srcv = internal::getRowPtr(srcvBase, srcvStride, i);
u8 * dst = internal::getRowPtr(dstBase, dstStride, i);
size_t syj = 0u, sj = 0u, dj = 0u;
#ifndef __ANDROID__
for (; sj < roiw32; sj += 32, syj += 64, dj += 128)
{
internal::prefetch(srcy + syj);
internal::prefetch(srcu + sj);
internal::prefetch(srcv + sj);
uint8x16x2_t v_y = vld2q_u8(srcy + syj);
uint8x16x4_t v_dst;
v_dst.val[0] = vld1q_u8(srcu + sj);
v_dst.val[1] = v_y.val[0];
v_dst.val[2] = vld1q_u8(srcv + sj);
v_dst.val[3] = v_y.val[1];
vst4q_u8(dst + dj, v_dst);
v_y = vld2q_u8(srcy + syj + 32);
v_dst.val[0] = vld1q_u8(srcu + sj + 16);
v_dst.val[1] = v_y.val[0];
v_dst.val[2] = vld1q_u8(srcv + sj + 16);
v_dst.val[3] = v_y.val[1];
vst4q_u8(dst + dj + 64, v_dst);
}
#endif
for (; sj < roiw8; sj += 8, syj += 16, dj += 32)
{
uint8x8x2_t v_y = vld2_u8(srcy + syj);
uint8x8x4_t v_dst;
v_dst.val[0] = vld1_u8(srcu + sj);
v_dst.val[1] = v_y.val[0];
v_dst.val[2] = vld1_u8(srcv + sj);
v_dst.val[3] = v_y.val[1];
vst4_u8(dst + dj, v_dst);
}
for (; sj < size.width; ++sj, syj += 2, dj += 4)
{
dst[dj] = srcu[sj];
dst[dj + 1] = srcy[syj];
dst[dj + 2] = srcv[sj];
dst[dj + 3] = srcy[syj + 1];
}
}
#else
(void)size;
(void)srcyBase;
(void)srcyStride;
(void)srcuBase;
(void)srcuStride;
(void)srcvBase;
(void)srcvStride;
(void)dstBase;
(void)dstStride;
#endif
}
} // namespace CAROTENE_NS
+340
View File
@@ -0,0 +1,340 @@
/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2014-2015, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#include "common.hpp"
#include "vtransform.hpp"
namespace CAROTENE_NS {
#ifdef CAROTENE_NEON
namespace {
inline void vnst(u8* dst, uint8x16_t v1, uint8x16_t v2) { vst1q_u8(dst, v1); vst1q_u8(dst+16, v2); }
inline void vnst(u8* dst, uint16x8_t v1, uint16x8_t v2) { vst1q_u8(dst, vcombine_u8(vmovn_u16(v1), vmovn_u16(v2))); }
inline void vnst(u8* dst, uint32x4_t v1, uint32x4_t v2) { vst1_u8(dst, vmovn_u16(vcombine_u16(vmovn_u32(v1), vmovn_u32(v2)))); }
template <typename Op, int elsize> struct vtail
{
static inline void compare(const typename Op::type * src0, const typename Op::type * src1,
u8 * dst, const Op & op,
size_t &x, size_t width)
{
//do nothing since there couldn't be enough data
(void)src0;
(void)src1;
(void)dst;
(void)op;
(void)x;
(void)width;
}
};
template <typename Op> struct vtail<Op, 2>
{
static inline void compare(const typename Op::type * src0, const typename Op::type * src1,
u8 * dst, const Op & op,
size_t &x, size_t width)
{
typedef typename Op::type type;
typedef typename internal::VecTraits<type>::vec128 vec128;
typedef typename internal::VecTraits<type>::unsign::vec128 uvec128;
//There no more than 15 elements in the tail, so we could handle 8 element vector only once
if( x + 8 < width)
{
vec128 v_src0, v_src1;
uvec128 v_dst;
v_src0 = internal::vld1q(src0 + x);
v_src1 = internal::vld1q(src1 + x);
op(v_src0, v_src1, v_dst);
internal::vst1(dst + x, internal::vmovn(v_dst));
x+=8;
}
}
};
template <typename Op> struct vtail<Op, 1>
{
static inline void compare(const typename Op::type * src0, const typename Op::type * src1,
u8 * dst, const Op & op,
size_t &x, size_t width)
{
typedef typename Op::type type;
typedef typename internal::VecTraits<type>::vec128 vec128;
typedef typename internal::VecTraits<type>::unsign::vec128 uvec128;
typedef typename internal::VecTraits<type>::vec64 vec64;
typedef typename internal::VecTraits<type>::unsign::vec64 uvec64;
//There no more than 31 elements in the tail, so we could handle once 16+8 or 16 or 8 elements
if( x + 16 < width)
{
vec128 v_src0, v_src1;
uvec128 v_dst;
v_src0 = internal::vld1q(src0 + x);
v_src1 = internal::vld1q(src1 + x);
op(v_src0, v_src1, v_dst);
internal::vst1q(dst + x, v_dst);
x+=16;
}
if( x + 8 < width)
{
vec64 v_src0, v_src1;
uvec64 v_dst;
v_src0 = internal::vld1(src0 + x);
v_src1 = internal::vld1(src1 + x);
op(v_src0, v_src1, v_dst);
internal::vst1(dst + x, v_dst);
x+=8;
}
}
};
template <typename Op>
void vcompare(Size2D size,
const typename Op::type * src0Base, ptrdiff_t src0Stride,
const typename Op::type * src1Base, ptrdiff_t src1Stride,
u8 * dstBase, ptrdiff_t dstStride, const Op & op)
{
typedef typename Op::type type;
typedef typename internal::VecTraits<type>::vec128 vec128;
typedef typename internal::VecTraits<type>::unsign::vec128 uvec128;
if (src0Stride == src1Stride && src0Stride == dstStride &&
src0Stride == (ptrdiff_t)(size.width * sizeof(type)))
{
size.width *= size.height;
size.height = 1;
}
const u32 step_base = 32 / sizeof(type);
size_t roiw_base = size.width >= (step_base - 1) ? size.width - step_base + 1 : 0;
for (size_t y = 0; y < size.height; ++y)
{
const type * src0 = internal::getRowPtr(src0Base, src0Stride, y);
const type * src1 = internal::getRowPtr(src1Base, src1Stride, y);
u8 * dst = internal::getRowPtr(dstBase, dstStride, y);
size_t x = 0;
for( ; x < roiw_base; x += step_base )
{
internal::prefetch(src0 + x);
internal::prefetch(src1 + x);
vec128 v_src00 = internal::vld1q(src0 + x), v_src01 = internal::vld1q(src0 + x + 16 / sizeof(type));
vec128 v_src10 = internal::vld1q(src1 + x), v_src11 = internal::vld1q(src1 + x + 16 / sizeof(type));
uvec128 v_dst0;
uvec128 v_dst1;
op(v_src00, v_src10, v_dst0);
op(v_src01, v_src11, v_dst1);
vnst(dst + x, v_dst0, v_dst1);
}
vtail<Op, sizeof(type)>::compare(src0, src1, dst, op, x, size.width);
for (; x < size.width; ++x)
{
op(src0 + x, src1 + x, dst + x);
}
}
}
template<typename T>
struct OpCmpEQ
{
typedef T type;
void operator() (const typename internal::VecTraits<T>::vec128 & v_src0, const typename internal::VecTraits<T>::vec128 & v_src1,
typename internal::VecTraits<T>::unsign::vec128 & v_dst) const
{
v_dst = internal::vceqq(v_src0, v_src1);
}
void operator() (const typename internal::VecTraits<T>::vec64 & v_src0, const typename internal::VecTraits<T>::vec64 & v_src1,
typename internal::VecTraits<T>::unsign::vec64 & v_dst) const
{
v_dst = internal::vceq(v_src0, v_src1);
}
void operator() (const T * src0, const T * src1, u8 * dst) const
{
dst[0] = src0[0] == src1[0] ? 255 : 0;
}
};
template<typename T>
struct OpCmpNE
{
typedef T type;
void operator() (const typename internal::VecTraits<T>::vec128 & v_src0, const typename internal::VecTraits<T>::vec128 & v_src1,
typename internal::VecTraits<T>::unsign::vec128 & v_dst) const
{
v_dst = internal::vmvnq(internal::vceqq(v_src0, v_src1));
}
void operator() (const typename internal::VecTraits<T>::vec64 & v_src0, const typename internal::VecTraits<T>::vec64 & v_src1,
typename internal::VecTraits<T>::unsign::vec64 & v_dst) const
{
v_dst = internal::vmvn(internal::vceq(v_src0, v_src1));
}
void operator() (const T * src0, const T * src1, u8 * dst) const
{
dst[0] = src0[0] == src1[0] ? 0 : 255;
}
};
template<typename T>
struct OpCmpGT
{
typedef T type;
void operator() (const typename internal::VecTraits<T>::vec128 & v_src0, const typename internal::VecTraits<T>::vec128 & v_src1,
typename internal::VecTraits<T>::unsign::vec128 & v_dst) const
{
v_dst = internal::vcgtq(v_src0, v_src1);
}
void operator() (const typename internal::VecTraits<T>::vec64 & v_src0, const typename internal::VecTraits<T>::vec64 & v_src1,
typename internal::VecTraits<T>::unsign::vec64 & v_dst) const
{
v_dst = internal::vcgt(v_src0, v_src1);
}
void operator() (const T * src0, const T * src1, u8 * dst) const
{
dst[0] = src0[0] > src1[0] ? 255 : 0;
}
};
template<typename T>
struct OpCmpGE
{
typedef T type;
void operator() (const typename internal::VecTraits<T>::vec128 & v_src0, const typename internal::VecTraits<T>::vec128 & v_src1,
typename internal::VecTraits<T>::unsign::vec128 & v_dst) const
{
v_dst = internal::vcgeq(v_src0, v_src1);
}
void operator() (const typename internal::VecTraits<T>::vec64 & v_src0, const typename internal::VecTraits<T>::vec64 & v_src1,
typename internal::VecTraits<T>::unsign::vec64 & v_dst) const
{
v_dst = internal::vcge(v_src0, v_src1);
}
void operator() (const T * src0, const T * src1, u8 * dst) const
{
dst[0] = src0[0] >= src1[0] ? 255 : 0;
}
};
}
#define IMPL_CMPOP(op, type) \
void cmp##op(const Size2D &size, \
const type * src0Base, ptrdiff_t src0Stride, \
const type * src1Base, ptrdiff_t src1Stride, \
u8 *dstBase, ptrdiff_t dstStride) \
{ \
internal::assertSupportedConfiguration(); \
vcompare(size, \
src0Base, src0Stride, \
src1Base, src1Stride, \
dstBase, dstStride, \
OpCmp##op<type>()); \
}
#else
#define IMPL_CMPOP(op, type) \
void cmp##op(const Size2D &size, \
const type * src0Base, ptrdiff_t src0Stride, \
const type * src1Base, ptrdiff_t src1Stride, \
u8 *dstBase, ptrdiff_t dstStride) \
{ \
internal::assertSupportedConfiguration(); \
(void)size; \
(void)src0Base; \
(void)src0Stride; \
(void)src1Base; \
(void)src1Stride; \
(void)dstBase; \
(void)dstStride; \
}
#endif
IMPL_CMPOP(EQ, u8)
IMPL_CMPOP(EQ, s8)
IMPL_CMPOP(EQ, u16)
IMPL_CMPOP(EQ, s16)
IMPL_CMPOP(EQ, u32)
IMPL_CMPOP(EQ, s32)
IMPL_CMPOP(EQ, f32)
IMPL_CMPOP(NE, u8)
IMPL_CMPOP(NE, s8)
IMPL_CMPOP(NE, u16)
IMPL_CMPOP(NE, s16)
IMPL_CMPOP(NE, u32)
IMPL_CMPOP(NE, s32)
IMPL_CMPOP(NE, f32)
IMPL_CMPOP(GT, u8)
IMPL_CMPOP(GT, s8)
IMPL_CMPOP(GT, u16)
IMPL_CMPOP(GT, s16)
IMPL_CMPOP(GT, u32)
IMPL_CMPOP(GT, s32)
IMPL_CMPOP(GT, f32)
IMPL_CMPOP(GE, u8)
IMPL_CMPOP(GE, s8)
IMPL_CMPOP(GE, u16)
IMPL_CMPOP(GE, s16)
IMPL_CMPOP(GE, u32)
IMPL_CMPOP(GE, s32)
IMPL_CMPOP(GE, f32)
} // namespace CAROTENE_NS
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/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2014, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#include <cstdlib>
#include <iostream>
#include "common.hpp"
namespace CAROTENE_NS {
bool isSupportedConfiguration()
{
#ifdef CAROTENE_NEON
return true;
#else
return false;
#endif
}
namespace internal {
void assertSupportedConfiguration(bool parametersSupported)
{
if (!isSupportedConfiguration()) {
std::cerr << "internal error: attempted to use an unavailable function" << std::endl;
std::abort();
}
if (!parametersSupported) {
std::cerr << "internal error: attempted to use a function with unsupported parameters" << std::endl;
std::abort();
}
}
ptrdiff_t borderInterpolate(ptrdiff_t _p, size_t _len, BORDER_MODE borderType, size_t startMargin, size_t endMargin)
{
ptrdiff_t p = _p + (ptrdiff_t)startMargin;
size_t len = _len + startMargin + endMargin;
if( (size_t)p < len )
return _p;
else if( borderType == BORDER_MODE_REPLICATE )
p = p < 0 ? 0 : (ptrdiff_t)len - 1;
else if( borderType == BORDER_MODE_REFLECT || borderType == BORDER_MODE_REFLECT101 )
{
s32 delta = borderType == BORDER_MODE_REFLECT101;
if( len == 1 )
return 0;
do
{
if( p < 0 )
p = -p - 1 + delta;
else
p = (ptrdiff_t)len - 1 - (p - (ptrdiff_t)len) - delta;
}
while( (size_t)p >= len );
}
else if( borderType == BORDER_MODE_WRAP )
{
if( p < 0 )
p -= ((p-(ptrdiff_t)len+1)/(ptrdiff_t)len)*(ptrdiff_t)len;
if( p >= (ptrdiff_t)len )
p %= (ptrdiff_t)len;
}
else if( borderType == BORDER_MODE_CONSTANT )
p = -1;
else
internal::assertSupportedConfiguration(false);
return p - (ptrdiff_t)startMargin;
}
} // namespace internal
} // namespace CAROTENE_NS
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/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2014-2015, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#ifndef CAROTENE_SRC_COMMON_HPP
#define CAROTENE_SRC_COMMON_HPP
#include <cstddef>
#include <cstdlib>
#include <algorithm>
#if defined WITH_NEON && (defined __ARM_NEON__ || defined __ARM_NEON)
#define CAROTENE_NEON
#endif
#ifdef CAROTENE_NEON
#include <arm_neon.h>
#include "intrinsics.hpp"
#endif
#include <carotene/functions.hpp>
#include "saturate_cast.hpp"
namespace CAROTENE_NS { namespace internal {
inline void prefetch(const void *ptr, size_t offset = 32*10)
{
#if defined __GNUC__
__builtin_prefetch(reinterpret_cast<const char*>(ptr) + offset);
#elif defined _MSC_VER && defined CAROTENE_NEON
__prefetch(reinterpret_cast<const char*>(ptr) + offset);
#else
(void)ptr;
(void)offset;
#endif
}
template <typename T>
inline T *getRowPtr(T *base, ptrdiff_t stride, size_t row)
{
char *baseRaw = const_cast<char *>(reinterpret_cast<const char *>(base));
return reinterpret_cast<T *>(baseRaw + ptrdiff_t(row) * stride);
}
void assertSupportedConfiguration(bool parametersSupported = true);
ptrdiff_t borderInterpolate(ptrdiff_t _p, size_t _len, BORDER_MODE borderType, size_t startMargin = 0, size_t endMargin = 0);
/*!
* Aligns pointer by the certain number of bytes
*
* This small inline function aligns the pointer by the certain number of bytes by shifting
* it forward by 0 or a positive offset.
*/
template<typename T> inline T* alignPtr(T* ptr, size_t n=sizeof(T))
{
return (T*)(((size_t)ptr + n-1) & -n);
}
}}
#endif
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/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2014, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#include "common.hpp"
#include <cstring>
namespace CAROTENE_NS {
#ifdef CAROTENE_NEON
namespace {
template <int shift>
void lshiftConst(const Size2D &size,
const u8 * srcBase, ptrdiff_t srcStride,
s16 * dstBase, ptrdiff_t dstStride)
{
size_t roiw16 = size.width >= 15 ? size.width - 15 : 0;
size_t roiw8 = size.width >= 7 ? size.width - 7 : 0;
for (size_t i = 0; i < size.height; ++i)
{
const u8 * src = internal::getRowPtr(srcBase, srcStride, i);
s16 * dst = internal::getRowPtr(dstBase, dstStride, i);
size_t j = 0;
for (; j < roiw16; j += 16)
{
internal::prefetch(src + j);
uint8x16_t v_src = vld1q_u8(src + j);
int16x8_t v_dst0 = vreinterpretq_s16_u16(vmovl_u8(vget_low_u8(v_src)));
int16x8_t v_dst1 = vreinterpretq_s16_u16(vmovl_u8(vget_high_u8(v_src)));
vst1q_s16(dst + j, vshlq_n_s16(v_dst0, shift));
vst1q_s16(dst + j + 8, vshlq_n_s16(v_dst1, shift));
}
for (; j < roiw8; j += 8)
{
int16x8_t v_dst = vreinterpretq_s16_u16(vmovl_u8(vld1_u8(src + j)));
vst1q_s16(dst + j, vshlq_n_s16(v_dst, shift));
}
for (; j < size.width; j++)
{
dst[j] = ((s16)src[j] << shift);
}
}
}
template <>
void lshiftConst<0>(const Size2D &size,
const u8 * srcBase, ptrdiff_t srcStride,
s16 * dstBase, ptrdiff_t dstStride)
{
size_t roiw16 = size.width >= 15 ? size.width - 15 : 0;
size_t roiw8 = size.width >= 7 ? size.width - 7 : 0;
for (size_t i = 0; i < size.height; ++i)
{
const u8 * src = internal::getRowPtr(srcBase, srcStride, i);
s16 * dst = internal::getRowPtr(dstBase, dstStride, i);
size_t j = 0;
for (; j < roiw16; j += 16)
{
internal::prefetch(src + j);
uint8x16_t v_src = vld1q_u8(src + j);
int16x8_t v_dst0 = vreinterpretq_s16_u16(vmovl_u8(vget_low_u8(v_src)));
int16x8_t v_dst1 = vreinterpretq_s16_u16(vmovl_u8(vget_high_u8(v_src)));
vst1q_s16(dst + j, v_dst0);
vst1q_s16(dst + j + 8, v_dst1);
}
for (; j < roiw8; j += 8)
{
int16x8_t v_dst = vreinterpretq_s16_u16(vmovl_u8(vld1_u8(src + j)));
vst1q_s16(dst + j, v_dst);
}
for (; j < size.width; j++)
{
dst[j] = (s16)src[j];
}
}
}
template <int shift>
void rshiftConst(const Size2D &size,
const s16 * srcBase, ptrdiff_t srcStride,
u8 * dstBase, ptrdiff_t dstStride,
CONVERT_POLICY cpolicy)
{
size_t roiw16 = size.width >= 15 ? size.width - 15 : 0;
size_t roiw8 = size.width >= 7 ? size.width - 7 : 0;
for (size_t i = 0; i < size.height; ++i)
{
const s16 * src = internal::getRowPtr(srcBase, srcStride, i);
u8 * dst = internal::getRowPtr(dstBase, dstStride, i);
size_t j = 0;
if (cpolicy == CONVERT_POLICY_SATURATE)
{
for (; j < roiw16; j += 16)
{
internal::prefetch(src + j);
int16x8_t v_src0 = vshrq_n_s16(vld1q_s16(src + j), shift),
v_src1 = vshrq_n_s16(vld1q_s16(src + j + 8), shift);
uint8x16_t v_dst = vcombine_u8(vqmovun_s16(v_src0),
vqmovun_s16(v_src1));
vst1q_u8(dst + j, v_dst);
}
for (; j < roiw8; j += 8)
{
int16x8_t v_src = vshrq_n_s16(vld1q_s16(src + j), shift);
vst1_u8(dst + j, vqmovun_s16(v_src));
}
for (; j < size.width; j++)
{
dst[j] = internal::saturate_cast<u8>((src[j] >> shift));
}
}
else // CONVERT_POLICY_WRAP
{
for (; j < roiw16; j += 16)
{
internal::prefetch(src + j);
int16x8_t v_src0 = vshrq_n_s16(vld1q_s16(src + j), shift),
v_src1 = vshrq_n_s16(vld1q_s16(src + j + 8), shift);
int8x16_t v_dst = vcombine_s8(vmovn_s16(v_src0),
vmovn_s16(v_src1));
vst1q_u8(dst + j, vreinterpretq_u8_s8(v_dst));
}
for (; j < roiw8; j += 8)
{
int16x8_t v_src = vshrq_n_s16(vld1q_s16(src + j), shift);
vst1_u8(dst + j, vreinterpret_u8_s8(vmovn_s16(v_src)));
}
for (; j < size.width; j++)
{
dst[j] = (u8)((src[j] >> shift));
}
}
}
}
template <>
void rshiftConst<0>(const Size2D &size,
const s16 * srcBase, ptrdiff_t srcStride,
u8 * dstBase, ptrdiff_t dstStride,
CONVERT_POLICY cpolicy)
{
size_t roiw16 = size.width >= 15 ? size.width - 15 : 0;
size_t roiw8 = size.width >= 7 ? size.width - 7 : 0;
for (size_t i = 0; i < size.height; ++i)
{
const s16 * src = internal::getRowPtr(srcBase, srcStride, i);
u8 * dst = internal::getRowPtr(dstBase, dstStride, i);
size_t j = 0;
if (cpolicy == CONVERT_POLICY_SATURATE)
{
for (; j < roiw16; j += 16)
{
internal::prefetch(src + j);
int16x8_t v_src0 = vld1q_s16(src + j), v_src1 = vld1q_s16(src + j + 8);
uint8x16_t v_dst = vcombine_u8(vqmovun_s16(v_src0), vqmovun_s16(v_src1));
vst1q_u8(dst + j, v_dst);
}
for (; j < roiw8; j += 8)
{
int16x8_t v_src = vld1q_s16(src + j);
vst1_u8(dst + j, vqmovun_s16(v_src));
}
for (; j < size.width; j++)
{
dst[j] = internal::saturate_cast<u8>(src[j]);
}
}
else // CONVERT_POLICY_WRAP
{
for (; j < roiw16; j += 16)
{
internal::prefetch(src + j);
int16x8_t v_src0 = vld1q_s16(src + j), v_src1 = vld1q_s16(src + j + 8);
int8x16_t v_dst = vcombine_s8(vmovn_s16(v_src0), vmovn_s16(v_src1));
vst1q_u8(dst + j, vreinterpretq_u8_s8(v_dst));
}
for (; j < roiw8; j += 8)
{
int16x8_t v_src = vld1q_s16(src + j);
vst1_u8(dst + j, vreinterpret_u8_s8(vmovn_s16(v_src)));
}
for (; j < size.width; j++)
{
dst[j] = (u8)src[j];
}
}
}
}
typedef void (* lshiftConstFunc)(const Size2D &size,
const u8 * srcBase, ptrdiff_t srcStride,
s16 * dstBase, ptrdiff_t dstStride);
typedef void (* rshiftConstFunc)(const Size2D &size,
const s16 * srcBase, ptrdiff_t srcStride,
u8 * dstBase, ptrdiff_t dstStride,
CONVERT_POLICY cpolicy);
} // namespace
#endif
void lshift(const Size2D &size,
const u8 * srcBase, ptrdiff_t srcStride,
s16 * dstBase, ptrdiff_t dstStride,
u32 shift)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
if (shift >= 16u)
{
for (size_t i = 0; i < size.height; ++i)
{
s16 * dst = internal::getRowPtr(dstBase, dstStride, i);
std::memset(dst, 0, sizeof(s16) * size.width);
}
return;
}
// this ugly contruction is needed to avoid:
// /usr/lib/gcc/arm-linux-gnueabihf/4.8/include/arm_neon.h:3581:59: error: argument must be a constant
// return (int16x8_t)__builtin_neon_vshl_nv8hi (__a, __b, 1);
lshiftConstFunc funcs[16] =
{
lshiftConst<0>,
lshiftConst<1>,
lshiftConst<2>,
lshiftConst<3>,
lshiftConst<4>,
lshiftConst<5>,
lshiftConst<6>,
lshiftConst<7>,
lshiftConst<8>,
lshiftConst<9>,
lshiftConst<10>,
lshiftConst<11>,
lshiftConst<12>,
lshiftConst<13>,
lshiftConst<14>,
lshiftConst<15>
}, func = funcs[shift];
func(size, srcBase, srcStride, dstBase, dstStride);
#else
(void)size;
(void)srcBase;
(void)srcStride;
(void)dstBase;
(void)dstStride;
(void)shift;
#endif
}
void rshift(const Size2D &size,
const s16 * srcBase, ptrdiff_t srcStride,
u8 * dstBase, ptrdiff_t dstStride,
u32 shift, CONVERT_POLICY cpolicy)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
if (shift >= 16)
{
if (cpolicy == CONVERT_POLICY_WRAP)
{
size_t roiw16 = size.width >= 15 ? size.width - 15 : 0;
size_t roiw8 = size.width >= 7 ? size.width - 7 : 0;
int16x8_t v_zero = vdupq_n_s16(0);
for (size_t i = 0; i < size.height; ++i)
{
const s16 * src = internal::getRowPtr(srcBase, srcStride, i);
u8 * dst = internal::getRowPtr(dstBase, dstStride, i);
size_t j = 0;
for (; j < roiw16; j += 16)
{
internal::prefetch(src + j);
int16x8_t v_src0 = vld1q_s16(src + j), v_src1 = vld1q_s16(src + j + 8);
uint8x16_t v_dst = vcombine_u8(vmovn_u16(vcltq_s16(v_src0, v_zero)),
vmovn_u16(vcltq_s16(v_src1, v_zero)));
vst1q_u8(dst + j, v_dst);
}
for (; j < roiw8; j += 8)
{
int16x8_t v_src = vld1q_s16(src + j);
vst1_u8(dst + j, vmovn_u16(vcltq_s16(v_src, v_zero)));
}
for (; j < size.width; j++)
{
dst[j] = src[j] >= 0 ? 0 : 255;
}
}
}
else
{
for (size_t i = 0; i < size.height; ++i)
{
u8 * dst = internal::getRowPtr(dstBase, dstStride, i);
std::memset(dst, 0, sizeof(u8) * size.width);
}
}
return;
}
// this ugly contruction is needed to avoid:
// /usr/lib/gcc/arm-linux-gnueabihf/4.8/include/arm_neon.h:3581:59: error: argument must be a constant
// return (int16x8_t)__builtin_neon_vshr_nv8hi (__a, __b, 1);
rshiftConstFunc funcs[16] =
{
rshiftConst<0>,
rshiftConst<1>,
rshiftConst<2>,
rshiftConst<3>,
rshiftConst<4>,
rshiftConst<5>,
rshiftConst<6>,
rshiftConst<7>,
rshiftConst<8>,
rshiftConst<9>,
rshiftConst<10>,
rshiftConst<11>,
rshiftConst<12>,
rshiftConst<13>,
rshiftConst<14>,
rshiftConst<15>
}, func = funcs[shift];
func(size, srcBase, srcStride, dstBase, dstStride, cpolicy);
#else
(void)size;
(void)srcBase;
(void)srcStride;
(void)dstBase;
(void)dstStride;
(void)shift;
(void)cpolicy;
#endif
}
} // namespace CAROTENE_NS
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/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2014, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#include "common.hpp"
#include "saturate_cast.hpp"
namespace CAROTENE_NS {
bool isConvolutionSupported(const Size2D &size, const Size2D &ksize,
BORDER_MODE border)
{
return isSupportedConfiguration() && size.width >= 8 &&
(border == BORDER_MODE_CONSTANT ||
border == BORDER_MODE_REPLICATE) &&
(ksize.width == 3) && (ksize.height == 3);
}
#ifdef CAROTENE_NEON
namespace {
template <int shift>
int32x4_t vshrq_s32(int32x4_t value)
{
return vshrq_n_s32(value, shift);
}
template <>
int32x4_t vshrq_s32<0>(int32x4_t value)
{
return value;
}
} // namespace
typedef int32x4_t (* vshrq_s32_func)(int32x4_t value);
#endif
void convolution(const Size2D &size,
const u8 * srcBase, ptrdiff_t srcStride,
u8 * dstBase, ptrdiff_t dstStride,
BORDER_MODE border, u8 borderValue,
const Size2D & ksize, s16 * kernelBase, u32 scale)
{
internal::assertSupportedConfiguration(isConvolutionSupported(size, ksize, border));
#ifdef CAROTENE_NEON
const uint8x8_t v_zero_u8 = vdup_n_u8(0);
const uint8x8_t v_border = vdup_n_u8(borderValue);
const int32x4_t v_zero_s32 = vdupq_n_s32(0);
uint8x8_t tprev[3] = { v_zero_u8, v_zero_u8, v_zero_u8 },
tcurr[3] = { v_zero_u8, v_zero_u8, v_zero_u8 },
tnext[3] = { v_zero_u8, v_zero_u8, v_zero_u8 };
uint8x8_t t0 = v_zero_u8, t1 = v_zero_u8, t2 = v_zero_u8;
ptrdiff_t width = (ptrdiff_t)size.width, height = (ptrdiff_t)size.height;
static const vshrq_s32_func vshrq_s32_a[33] =
{
vshrq_s32<0>,
vshrq_s32<1>,
vshrq_s32<2>,
vshrq_s32<3>,
vshrq_s32<4>,
vshrq_s32<5>,
vshrq_s32<6>,
vshrq_s32<7>,
vshrq_s32<8>,
vshrq_s32<9>,
vshrq_s32<10>,
vshrq_s32<11>,
vshrq_s32<12>,
vshrq_s32<13>,
vshrq_s32<14>,
vshrq_s32<15>,
vshrq_s32<16>,
vshrq_s32<17>,
vshrq_s32<18>,
vshrq_s32<19>,
vshrq_s32<20>,
vshrq_s32<21>,
vshrq_s32<22>,
vshrq_s32<23>,
vshrq_s32<24>,
vshrq_s32<25>,
vshrq_s32<26>,
vshrq_s32<27>,
vshrq_s32<28>,
vshrq_s32<29>,
vshrq_s32<30>,
vshrq_s32<31>,
vshrq_s32<32>
};
vshrq_s32_func vshrq_s32_p = vshrq_s32_a[scale];
for (ptrdiff_t y = 0; y < height; ++y)
{
const u8 * srow0 = y == 0 && border == BORDER_MODE_CONSTANT ? NULL : internal::getRowPtr(srcBase, srcStride, std::max<ptrdiff_t>(y - 1, 0));
const u8 * srow1 = internal::getRowPtr(srcBase, srcStride, y);
const u8 * srow2 = y + 1 == height && border == BORDER_MODE_CONSTANT ? NULL : internal::getRowPtr(srcBase, srcStride, std::min(y + 1, height - 1));
u8 * drow = internal::getRowPtr(dstBase, dstStride, y);
u8 prevx[3] = { 0, 0, 0 },
currx[3] = { 0, 0, 0 },
nextx[3] = { 0, 0, 0 };
ptrdiff_t x = 0;
const ptrdiff_t bwidth = y + 2 < height ? width : (width - 8);
// perform vertical convolution
for ( ; x <= bwidth; x += 8)
{
internal::prefetch(srow0 + x);
internal::prefetch(srow1 + x);
internal::prefetch(srow2 + x);
uint8x8_t x0 = !srow0 ? v_border : vld1_u8(srow0 + x);
uint8x8_t x1 = vld1_u8(srow1 + x);
uint8x8_t x2 = !srow2 ? v_border : vld1_u8(srow2 + x);
// calculate values for plain CPU part below if needed
if (x + 8 >= bwidth)
{
ptrdiff_t x3 = x == width ? width - 1 : x;
ptrdiff_t x4 = border == BORDER_MODE_CONSTANT ? x3 - 1 : std::max<ptrdiff_t>(x3 - 1, 0);
if (border == BORDER_MODE_CONSTANT && x4 < 0)
prevx[0] = prevx[1] = prevx[2] = borderValue;
else
{
prevx[0] = srow0 ? srow0[x4] : borderValue;
prevx[1] = srow1[x4] ;
prevx[2] = srow2 ? srow2[x4] : borderValue;
}
currx[0] = srow0 ? srow0[x3] : borderValue;
currx[1] = srow1[x3] ;
currx[2] = srow2 ? srow2[x3] : borderValue;
}
// make shift
if (x)
{
tprev[0] = tcurr[0];
tcurr[0] = tnext[0];
tprev[1] = tcurr[1];
tcurr[1] = tnext[1];
tprev[2] = tcurr[2];
tcurr[2] = tnext[2];
}
tnext[0] = x0;
tnext[1] = x1;
tnext[2] = x2;
// make extrapolation for the first elements
if (!x)
{
// make border
if (border == BORDER_MODE_CONSTANT)
tcurr[0] = tcurr[1] = tcurr[2] = v_border;
else if (border == BORDER_MODE_REPLICATE)
{
tcurr[0] = vdup_n_u8(vget_lane_u8(tnext[0], 0));
tcurr[1] = vdup_n_u8(vget_lane_u8(tnext[1], 0));
tcurr[2] = vdup_n_u8(vget_lane_u8(tnext[2], 0));
}
continue;
}
int32x4_t v_dst0 = v_zero_s32, v_dst1 = v_zero_s32;
{
// combine 3 "shifted" vectors
t0 = vext_u8(tprev[0], tcurr[0], 7);
t1 = tcurr[0];
t2 = vext_u8(tcurr[0], tnext[0], 1);
int16x8_t t0_16s = vreinterpretq_s16_u16(vmovl_u8(t0));
int16x8_t t1_16s = vreinterpretq_s16_u16(vmovl_u8(t1));
int16x8_t t2_16s = vreinterpretq_s16_u16(vmovl_u8(t2));
v_dst0 = vmlal_n_s16(v_dst0, vget_low_s16(t0_16s), kernelBase[8]);
v_dst0 = vmlal_n_s16(v_dst0, vget_low_s16(t1_16s), kernelBase[7]);
v_dst0 = vmlal_n_s16(v_dst0, vget_low_s16(t2_16s), kernelBase[6]);
v_dst1 = vmlal_n_s16(v_dst1, vget_high_s16(t0_16s), kernelBase[8]);
v_dst1 = vmlal_n_s16(v_dst1, vget_high_s16(t1_16s), kernelBase[7]);
v_dst1 = vmlal_n_s16(v_dst1, vget_high_s16(t2_16s), kernelBase[6]);
}
{
// combine 3 "shifted" vectors
t0 = vext_u8(tprev[1], tcurr[1], 7);
t1 = tcurr[1];
t2 = vext_u8(tcurr[1], tnext[1], 1);
int16x8_t t0_16s = vreinterpretq_s16_u16(vmovl_u8(t0));
int16x8_t t1_16s = vreinterpretq_s16_u16(vmovl_u8(t1));
int16x8_t t2_16s = vreinterpretq_s16_u16(vmovl_u8(t2));
v_dst0 = vmlal_n_s16(v_dst0, vget_low_s16(t0_16s), kernelBase[5]);
v_dst0 = vmlal_n_s16(v_dst0, vget_low_s16(t1_16s), kernelBase[4]);
v_dst0 = vmlal_n_s16(v_dst0, vget_low_s16(t2_16s), kernelBase[3]);
v_dst1 = vmlal_n_s16(v_dst1, vget_high_s16(t0_16s), kernelBase[5]);
v_dst1 = vmlal_n_s16(v_dst1, vget_high_s16(t1_16s), kernelBase[4]);
v_dst1 = vmlal_n_s16(v_dst1, vget_high_s16(t2_16s), kernelBase[3]);
}
{
// combine 3 "shifted" vectors
t0 = vext_u8(tprev[2], tcurr[2], 7);
t1 = tcurr[2];
t2 = vext_u8(tcurr[2], tnext[2], 1);
int16x8_t t0_16s = vreinterpretq_s16_u16(vmovl_u8(t0));
int16x8_t t1_16s = vreinterpretq_s16_u16(vmovl_u8(t1));
int16x8_t t2_16s = vreinterpretq_s16_u16(vmovl_u8(t2));
v_dst0 = vmlal_n_s16(v_dst0, vget_low_s16(t0_16s), kernelBase[2]);
v_dst0 = vmlal_n_s16(v_dst0, vget_low_s16(t1_16s), kernelBase[1]);
v_dst0 = vmlal_n_s16(v_dst0, vget_low_s16(t2_16s), kernelBase[0]);
v_dst1 = vmlal_n_s16(v_dst1, vget_high_s16(t0_16s), kernelBase[2]);
v_dst1 = vmlal_n_s16(v_dst1, vget_high_s16(t1_16s), kernelBase[1]);
v_dst1 = vmlal_n_s16(v_dst1, vget_high_s16(t2_16s), kernelBase[0]);
}
// make scale
v_dst0 = vshrq_s32_p(v_dst0);
v_dst1 = vshrq_s32_p(v_dst1);
// and add them
vst1_u8(drow + x - 8, vqmovn_u16(vcombine_u16(vqmovun_s32(v_dst0),
vqmovun_s32(v_dst1))));
}
x -= 8;
if (x == width)
--x;
for ( ; x < width; ++x)
{
// make extrapolation for the last elements
if (x + 1 >= width)
{
if (border == BORDER_MODE_CONSTANT)
{
nextx[0] = borderValue;
nextx[1] = borderValue;
nextx[2] = borderValue;
}
else if (border == BORDER_MODE_REPLICATE)
{
nextx[0] = srow0[x];
nextx[1] = srow1[x];
nextx[2] = srow2[x];
}
}
else
{
nextx[0] = srow0 ? srow0[x + 1] : borderValue;
nextx[1] = srow1[x + 1] ;
nextx[2] = srow2 ? srow2[x + 1] : borderValue;
}
s32 val = 0;
for (s32 _y = 0; _y < 3; ++_y)
val += prevx[_y] * kernelBase[(2 - _y) * 3 + 2] +
currx[_y] * kernelBase[(2 - _y) * 3 + 1] +
nextx[_y] * kernelBase[(2 - _y) * 3 + 0];
drow[x] = internal::saturate_cast<u8>(val >> scale);
// make shift
prevx[0] = currx[0];
currx[0] = nextx[0];
prevx[1] = currx[1];
currx[1] = nextx[1];
prevx[2] = currx[2];
currx[2] = nextx[2];
}
}
#else
(void)size;
(void)srcBase;
(void)srcStride;
(void)dstBase;
(void)dstStride;
(void)border;
(void)borderValue;
(void)ksize;
(void)kernelBase;
(void)scale;
#endif
}
} // namespace CAROTENE_NS
+430
View File
@@ -0,0 +1,430 @@
/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2012-2015, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#include "common.hpp"
#include <limits>
namespace CAROTENE_NS {
s32 countNonZero(const Size2D &_size,
const u8 * srcBase, ptrdiff_t srcStride)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
Size2D size(_size);
if (srcStride == (ptrdiff_t)(size.width))
{
size.width *= size.height;
size.height = 1;
}
size_t roiw16 = size.width & ~15u;
s32 result = 0;
for(size_t k = 0; k < size.height; ++k)
{
const u8* src = internal::getRowPtr( srcBase, srcStride, k);
size_t i = 0;
#define COUNTNONZERO8U_BLOCK_SIZE (16*255)
uint8x16_t vc1 = vmovq_n_u8(1);
for (; i < roiw16;)
{
size_t lim = std::min(i + COUNTNONZERO8U_BLOCK_SIZE, size.width) - 16;
uint8x16_t vs = vmovq_n_u8(0);
for (; i <= lim; i+= 16)
{
internal::prefetch(src + i);
uint8x16_t vln = vld1q_u8(src + i);
uint8x16_t vnz = vminq_u8(vln, vc1);
vs = vaddq_u8(vs, vnz);
}
uint32x4_t vs4 = vpaddlq_u16(vpaddlq_u8(vs));
uint32x2_t vs2 = vadd_u32(vget_low_u32(vs4), vget_high_u32(vs4));
s32 s[2];
vst1_u32((u32*)s, vs2);
if (s[0] < 0 || s[1] < 0)//saturate in case of overflow ~ 2GB of non-zeros...
{
return 0x7fFFffFF;
}
result += (s[0] += s[1]);
if (s[0] < 0 || result < 0)
{
return 0x7fFFffFF;
}
}
for (; i < size.width; i++)
result += (src[i] != 0)?1:0;
if (result < 0)//saturate in case of overflow ~ 2GB of non-zeros...
{
return 0x7fFFffFF;
}
}
return result;
#else
(void)_size;
(void)srcBase;
(void)srcStride;
return 0;
#endif
}
s32 countNonZero(const Size2D &_size,
const u16 * srcBase, ptrdiff_t srcStride)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
Size2D size(_size);
if (srcStride == (ptrdiff_t)(size.width))
{
size.width *= size.height;
size.height = 1;
}
size_t roiw8 = size.width & ~7u;
s32 result = 0;
for(size_t k = 0; k < size.height; ++k)
{
const u16* src = internal::getRowPtr( srcBase, srcStride, k);
size_t i = 0;
#define COUNTNONZERO16U_BLOCK_SIZE (8*(256*256-1))
uint16x8_t vc1 = vmovq_n_u16(1);
for (; i < roiw8;)
{
size_t lim = std::min(i + COUNTNONZERO16U_BLOCK_SIZE, size.width) - 8;
uint16x8_t vs = vmovq_n_u16(0);
for (; i <= lim; i+= 8)
{
internal::prefetch(src + i);
uint16x8_t vln = vld1q_u16(src + i);
uint16x8_t vnz = vminq_u16(vln, vc1);
vs = vaddq_u16(vs, vnz);
}
uint32x4_t vs4 = vpaddlq_u16(vs);
uint32x2_t vs2 = vadd_u32(vget_low_u32(vs4), vget_high_u32(vs4));
s32 s[2];
vst1_u32((u32*)s, vs2);
if (s[0] < 0 || s[1] < 0)//saturate in case of overflow ~ 4GB of non-zeros...
{
return 0x7fFFffFF;
}
result += (s[0] += s[1]);
if (s[0] < 0 || result < 0)
{
return 0x7fFFffFF;
}
}
for (; i < size.width; i++)
result += (src[i] != 0)?1:0;
if (result < 0)//saturate in case of overflow ~ 4GB of non-zeros...
{
return 0x7fFFffFF;
}
}
return result;
#else
(void)_size;
(void)srcBase;
(void)srcStride;
return 0;
#endif
}
s32 countNonZero(const Size2D &_size,
const s32 * srcBase, ptrdiff_t srcStride)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
Size2D size(_size);
if (srcStride == (ptrdiff_t)(size.width))
{
size.width *= size.height;
size.height = 1;
}
size_t roiw4 = size.width & ~3u;
s32 result = 0;
for(size_t k = 0; k < size.height; ++k)
{
const u32* src = (const u32*)internal::getRowPtr( srcBase, srcStride, k);
u32 i = 0;
uint32x4_t vc1 = vmovq_n_u32(1);
uint32x4_t vs = vmovq_n_u32(0);
for (; i < roiw4; i += 4 )
{
internal::prefetch(src + i);
uint32x4_t vln = vld1q_u32(src + i);
uint32x4_t vnz = vminq_u32(vln, vc1);
vs = vqaddq_u32(vs, vnz);
}
uint32x2_t vs2 = vqadd_u32(vget_low_u32(vs), vget_high_u32(vs));
s32 s[2];
vst1_u32((u32*)s, vs2);
if (s[0] < 0 || s[1] < 0)//saturate in case of overflow ~ 8GB of non-zeros...
{
return 0x7fFFffFF;
}
result += (s[0] += s[1]);
if (s[0] < 0 || result < 0)
{
return 0x7fFFffFF;
}
for (; i < size.width; i++)
result += (src[i] != 0)?1:0;
if (result < 0)//saturate in case of overflow ~ 8GB of non-zeros...
{
return 0x7fFFffFF;
}
}
return result;
#else
(void)_size;
(void)srcBase;
(void)srcStride;
return 0;
#endif
}
s32 countNonZero(const Size2D &_size,
const f32 * srcBase, ptrdiff_t srcStride)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
Size2D size(_size);
if (srcStride == (ptrdiff_t)(size.width))
{
size.width *= size.height;
size.height = 1;
}
size_t roiw4 = size.width & ~3u;
s32 result = 0;
for(size_t k = 0; k < size.height; ++k)
{
const f32* src = internal::getRowPtr( srcBase, srcStride, k);
size_t i = 0;
float32x4_t vc0 = vmovq_n_f32(0);
int32x4_t vs = vmovq_n_s32(0);
for (; i < roiw4; i += 4 )
{
internal::prefetch(src + i);
float32x4_t vln = vld1q_f32(src + i);
int32x4_t vnz = vreinterpretq_s32_u32(vmvnq_u32(vceqq_f32(vln, vc0)));
vs = vqaddq_s32(vs, vnz);
}
int32x2_t vs2 = vqneg_s32(vqadd_s32(vget_low_s32(vs), vget_high_s32(vs)));
int s[2];
vst1_s32(s, vs2);
result += (s[0] += s[1]);
if (s[0] < 0 || result < 0)//case of overflow ~ 8GB of non-zeros...
{
return 0x7fFFffFF;
}
for (; i < size.width; i++)
result += (src[i] < std::numeric_limits<float>::min() && src[i] > -std::numeric_limits<float>::min())?0:1;
if (result < 0)
{
return 0x7fFFffFF;
}
}
return result;
#else
(void)_size;
(void)srcBase;
(void)srcStride;
return 0;
#endif
}
s32 countNonZero(const Size2D &_size,
const f64 * srcBase, ptrdiff_t srcStride)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
Size2D size(_size);
if (srcStride == (ptrdiff_t)(size.width))
{
size.width *= size.height;
size.height = 1;
}
size_t roiw8 = size.width & ~7u;
size_t roiw4 = size.width & ~3u;
size_t roiw2 = size.width & ~1u;
uint64x2_t vmask1 = vdupq_n_u64(0x7fFFffFFffFFffFFULL); //will treat denormals as non-zero
uint32x4_t vc0 = vmovq_n_u32(0);
s32 result = 0;
for(size_t k = 0; k < size.height; ++k)
{
const f64* src = internal::getRowPtr( srcBase, srcStride, k);
size_t i = 0;
int32x2_t vs1 = vmov_n_s32(0);
int32x2_t vs2 = vmov_n_s32(0);
int32x2_t vs3 = vmov_n_s32(0);
int32x2_t vs4 = vmov_n_s32(0);
for (; i < roiw8; i += 8 )
{
internal::prefetch(src + i + 6);
uint64x2_t vln1 = vld1q_u64((const u64*)(src + i));
uint64x2_t vln2 = vld1q_u64((const u64*)(src + i + 2));
uint64x2_t vln3 = vld1q_u64((const u64*)(src + i + 4));
uint64x2_t vln4 = vld1q_u64((const u64*)(src + i + 6));
uint64x2_t vm1 = vandq_u64(vln1, vmask1);
uint64x2_t vm2 = vandq_u64(vln2, vmask1);
uint64x2_t vm3 = vandq_u64(vln3, vmask1);
uint64x2_t vm4 = vandq_u64(vln4, vmask1);
uint32x4_t vequ1 = vceqq_u32(vreinterpretq_u32_u64(vm1), vc0);
uint32x4_t vequ2 = vceqq_u32(vreinterpretq_u32_u64(vm2), vc0);
uint32x4_t vequ3 = vceqq_u32(vreinterpretq_u32_u64(vm3), vc0);
uint32x4_t vequ4 = vceqq_u32(vreinterpretq_u32_u64(vm4), vc0);
uint32x4_t vlx1 = vmvnq_u32(vequ1);
uint32x4_t vlx2 = vmvnq_u32(vequ2);
uint32x4_t vlx3 = vmvnq_u32(vequ3);
uint32x4_t vlx4 = vmvnq_u32(vequ4);
int32x2_t vnz1 = vreinterpret_s32_u32(vpmax_u32(vget_low_u32(vlx1), vget_high_u32(vlx1)));
int32x2_t vnz2 = vreinterpret_s32_u32(vpmax_u32(vget_low_u32(vlx2), vget_high_u32(vlx2)));
int32x2_t vnz3 = vreinterpret_s32_u32(vpmax_u32(vget_low_u32(vlx3), vget_high_u32(vlx3)));
int32x2_t vnz4 = vreinterpret_s32_u32(vpmax_u32(vget_low_u32(vlx4), vget_high_u32(vlx4)));
vs1 = vqadd_s32(vs1, vnz1);
vs2 = vqadd_s32(vs2, vnz2);
vs3 = vqadd_s32(vs3, vnz3);
vs4 = vqadd_s32(vs4, vnz4);
}
if (i < roiw4)
{
internal::prefetch(src + i + 2);
uint64x2_t vln1 = vld1q_u64((const u64*)(src + i));
uint64x2_t vln2 = vld1q_u64((const u64*)(src + i + 2));
uint64x2_t vm1 = vandq_u64(vln1, vmask1);
uint64x2_t vm2 = vandq_u64(vln2, vmask1);
uint32x4_t vequ1 = vceqq_u32(vreinterpretq_u32_u64(vm1), vc0);
uint32x4_t vequ2 = vceqq_u32(vreinterpretq_u32_u64(vm2), vc0);
uint32x4_t vlx1 = vmvnq_u32(vequ1);
uint32x4_t vlx2 = vmvnq_u32(vequ2);
int32x2_t vnz1 = vreinterpret_s32_u32(vpmax_u32(vget_low_u32(vlx1), vget_high_u32(vlx1)));
int32x2_t vnz2 = vreinterpret_s32_u32(vpmax_u32(vget_low_u32(vlx2), vget_high_u32(vlx2)));
vs1 = vqadd_s32(vs1, vnz1);
vs2 = vqadd_s32(vs2, vnz2);
i += 4;
}
if (i < roiw2)
{
internal::prefetch(src + i);
uint64x2_t vln1 = vld1q_u64((const u64*)(src + i));
uint64x2_t vm1 = vandq_u64(vln1, vmask1);
uint32x4_t vequ1 = vceqq_u32(vreinterpretq_u32_u64(vm1), vc0);
uint32x4_t vlx1 = vmvnq_u32(vequ1);
int32x2_t vnz1 = vreinterpret_s32_u32(vpmax_u32(vget_low_u32(vlx1), vget_high_u32(vlx1)));
vs1 = vqadd_s32(vs1, vnz1);
i += 2;
}
vs1 = vqadd_s32(vs1, vs2);
vs3 = vqadd_s32(vs3, vs4);
vs1 = vqadd_s32(vs1, vs3);
int32x2_t vsneg = vqneg_s32(vs1);
s32 s[2];
vst1_s32(s, vsneg);
result += (s[0] += s[1]);
if (s[0] < 0 || result < 0)//case of overflow ~ 16GB of non-zeros...
{
return 0x7fFFffFF;
}
for (; i < size.width; i++)
result += (src[i] < std::numeric_limits<double>::min() && src[i] > -std::numeric_limits<double>::min())?0:1;
if (result < 0)
{
return 0x7fFFffFF;
}
}
return result;
#else
(void)_size;
(void)srcBase;
(void)srcStride;
return 0;
#endif
}
} // namespace CAROTENE_NS
+681
View File
@@ -0,0 +1,681 @@
/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2016, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#include "common.hpp"
#include "vtransform.hpp"
#include "vround_helper.hpp"
#include <cstring>
#include <cfloat>
#include <cmath>
#include <limits>
namespace CAROTENE_NS {
namespace {
#ifdef CAROTENE_NEON
template <typename T>
inline T divSaturateQ(const T &v1, const T &v2, const float scale)
{
return internal::vcombine(internal::vqmovn(divSaturateQ(internal::vmovl(internal::vget_low(v1)),
internal::vmovl(internal::vget_low(v2)), scale)),
internal::vqmovn(divSaturateQ(internal::vmovl(internal::vget_high(v1)),
internal::vmovl(internal::vget_high(v2)), scale))
);
}
template <>
inline int32x4_t divSaturateQ<int32x4_t>(const int32x4_t &v1, const int32x4_t &v2, const float scale)
{ return internal::vroundq_s32_f32(vmulq_f32(vmulq_n_f32(vcvtq_f32_s32(v1), scale), internal::vrecpq_f32(vcvtq_f32_s32(v2)))); }
template <>
inline uint32x4_t divSaturateQ<uint32x4_t>(const uint32x4_t &v1, const uint32x4_t &v2, const float scale)
{ return internal::vroundq_u32_f32(vmulq_f32(vmulq_n_f32(vcvtq_f32_u32(v1), scale), internal::vrecpq_f32(vcvtq_f32_u32(v2)))); }
template <typename T>
inline T divSaturate(const T &v1, const T &v2, const float scale)
{
return internal::vqmovn(divSaturateQ(internal::vmovl(v1), internal::vmovl(v2), scale));
}
template <>
inline int32x2_t divSaturate<int32x2_t>(const int32x2_t &v1, const int32x2_t &v2, const float scale)
{ return internal::vround_s32_f32(vmul_f32(vmul_n_f32(vcvt_f32_s32(v1), scale), internal::vrecp_f32(vcvt_f32_s32(v2)))); }
template <>
inline uint32x2_t divSaturate<uint32x2_t>(const uint32x2_t &v1, const uint32x2_t &v2, const float scale)
{ return internal::vround_u32_f32(vmul_f32(vmul_n_f32(vcvt_f32_u32(v1), scale), internal::vrecp_f32(vcvt_f32_u32(v2)))); }
template <typename T>
inline T divWrapQ(const T &v1, const T &v2, const float scale)
{
return internal::vcombine(internal::vmovn(divWrapQ(internal::vmovl(internal::vget_low(v1)),
internal::vmovl(internal::vget_low(v2)), scale)),
internal::vmovn(divWrapQ(internal::vmovl(internal::vget_high(v1)),
internal::vmovl(internal::vget_high(v2)), scale))
);
}
template <>
inline int32x4_t divWrapQ<int32x4_t>(const int32x4_t &v1, const int32x4_t &v2, const float scale)
{ return vcvtq_s32_f32(vmulq_f32(vmulq_n_f32(vcvtq_f32_s32(v1), scale), internal::vrecpq_f32(vcvtq_f32_s32(v2)))); }
template <>
inline uint32x4_t divWrapQ<uint32x4_t>(const uint32x4_t &v1, const uint32x4_t &v2, const float scale)
{ return vcvtq_u32_f32(vmulq_f32(vmulq_n_f32(vcvtq_f32_u32(v1), scale), internal::vrecpq_f32(vcvtq_f32_u32(v2)))); }
template <typename T>
inline T divWrap(const T &v1, const T &v2, const float scale)
{
return internal::vmovn(divWrapQ(internal::vmovl(v1), internal::vmovl(v2), scale));
}
template <>
inline int32x2_t divWrap<int32x2_t>(const int32x2_t &v1, const int32x2_t &v2, const float scale)
{ return vcvt_s32_f32(vmul_f32(vmul_n_f32(vcvt_f32_s32(v1), scale), internal::vrecp_f32(vcvt_f32_s32(v2)))); }
template <>
inline uint32x2_t divWrap<uint32x2_t>(const uint32x2_t &v1, const uint32x2_t &v2, const float scale)
{ return vcvt_u32_f32(vmul_f32(vmul_n_f32(vcvt_f32_u32(v1), scale), internal::vrecp_f32(vcvt_f32_u32(v2)))); }
inline uint8x16_t vtstq(const uint8x16_t & v0, const uint8x16_t & v1) { return vtstq_u8 (v0, v1); }
inline uint16x8_t vtstq(const uint16x8_t & v0, const uint16x8_t & v1) { return vtstq_u16(v0, v1); }
inline uint32x4_t vtstq(const uint32x4_t & v0, const uint32x4_t & v1) { return vtstq_u32(v0, v1); }
inline int8x16_t vtstq(const int8x16_t & v0, const int8x16_t & v1) { return vreinterpretq_s8_u8 (vtstq_s8 (v0, v1)); }
inline int16x8_t vtstq(const int16x8_t & v0, const int16x8_t & v1) { return vreinterpretq_s16_u16(vtstq_s16(v0, v1)); }
inline int32x4_t vtstq(const int32x4_t & v0, const int32x4_t & v1) { return vreinterpretq_s32_u32(vtstq_s32(v0, v1)); }
inline uint8x8_t vtst(const uint8x8_t & v0, const uint8x8_t & v1) { return vtst_u8 (v0, v1); }
inline uint16x4_t vtst(const uint16x4_t & v0, const uint16x4_t & v1) { return vtst_u16(v0, v1); }
inline uint32x2_t vtst(const uint32x2_t & v0, const uint32x2_t & v1) { return vtst_u32(v0, v1); }
inline int8x8_t vtst(const int8x8_t & v0, const int8x8_t & v1) { return vreinterpret_s8_u8 (vtst_s8 (v0, v1)); }
inline int16x4_t vtst(const int16x4_t & v0, const int16x4_t & v1) { return vreinterpret_s16_u16(vtst_s16(v0, v1)); }
inline int32x2_t vtst(const int32x2_t & v0, const int32x2_t & v1) { return vreinterpret_s32_u32(vtst_s32(v0, v1)); }
#endif
template <typename T>
void div(const Size2D &size,
const T * src0Base, ptrdiff_t src0Stride,
const T * src1Base, ptrdiff_t src1Stride,
T * dstBase, ptrdiff_t dstStride,
f32 scale,
CONVERT_POLICY cpolicy)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
typedef typename internal::VecTraits<T>::vec128 vec128;
typedef typename internal::VecTraits<T>::vec64 vec64;
#if defined(__GNUC__) && (defined(__GXX_EXPERIMENTAL_CXX0X__) || __cplusplus >= 201103L)
static_assert(std::numeric_limits<T>::is_integer, "template implementation is for integer types only");
#endif
if (scale == 0.0f ||
(std::numeric_limits<T>::is_integer &&
(scale * static_cast<float>(std::numeric_limits<T>::max())) < 1.0f &&
(scale * static_cast<float>(std::numeric_limits<T>::max())) > -1.0f))
{
for (size_t y = 0; y < size.height; ++y)
{
T * dst = internal::getRowPtr(dstBase, dstStride, y);
std::memset(dst, 0, sizeof(T) * size.width);
}
return;
}
const size_t step128 = 16 / sizeof(T);
size_t roiw128 = size.width >= (step128 - 1) ? size.width - step128 + 1 : 0;
const size_t step64 = 8 / sizeof(T);
size_t roiw64 = size.width >= (step64 - 1) ? size.width - step64 + 1 : 0;
for (size_t i = 0; i < size.height; ++i)
{
const T * src0 = internal::getRowPtr(src0Base, src0Stride, i);
const T * src1 = internal::getRowPtr(src1Base, src1Stride, i);
T * dst = internal::getRowPtr(dstBase, dstStride, i);
size_t j = 0;
if (cpolicy == CONVERT_POLICY_SATURATE)
{
for (; j < roiw128; j += step128)
{
internal::prefetch(src0 + j);
internal::prefetch(src1 + j);
vec128 v_src0 = internal::vld1q(src0 + j);
vec128 v_src1 = internal::vld1q(src1 + j);
vec128 v_mask = vtstq(v_src1,v_src1);
internal::vst1q(dst + j, internal::vandq(v_mask, divSaturateQ(v_src0, v_src1, scale)));
}
for (; j < roiw64; j += step64)
{
vec64 v_src0 = internal::vld1(src0 + j);
vec64 v_src1 = internal::vld1(src1 + j);
vec64 v_mask = vtst(v_src1,v_src1);
internal::vst1(dst + j, internal::vand(v_mask,divSaturate(v_src0, v_src1, scale)));
}
for (; j < size.width; j++)
{
dst[j] = src1[j] ? internal::saturate_cast<T>(scale * src0[j] / src1[j]) : 0;
}
}
else // CONVERT_POLICY_WRAP
{
for (; j < roiw128; j += step128)
{
internal::prefetch(src0 + j);
internal::prefetch(src1 + j);
vec128 v_src0 = internal::vld1q(src0 + j);
vec128 v_src1 = internal::vld1q(src1 + j);
vec128 v_mask = vtstq(v_src1,v_src1);
internal::vst1q(dst + j, internal::vandq(v_mask, divWrapQ(v_src0, v_src1, scale)));
}
for (; j < roiw64; j += step64)
{
vec64 v_src0 = internal::vld1(src0 + j);
vec64 v_src1 = internal::vld1(src1 + j);
vec64 v_mask = vtst(v_src1,v_src1);
internal::vst1(dst + j, internal::vand(v_mask,divWrap(v_src0, v_src1, scale)));
}
for (; j < size.width; j++)
{
dst[j] = src1[j] ? (T)((s32)trunc(scale * src0[j] / src1[j])) : 0;
}
}
}
#else
(void)size;
(void)src0Base;
(void)src0Stride;
(void)src1Base;
(void)src1Stride;
(void)dstBase;
(void)dstStride;
(void)cpolicy;
(void)scale;
#endif
}
#ifdef CAROTENE_NEON
template <typename T>
inline T recipSaturateQ(const T &v2, const float scale)
{
return internal::vcombine(internal::vqmovn(recipSaturateQ(internal::vmovl(internal::vget_low(v2)), scale)),
internal::vqmovn(recipSaturateQ(internal::vmovl(internal::vget_high(v2)), scale))
);
}
template <>
inline int32x4_t recipSaturateQ<int32x4_t>(const int32x4_t &v2, const float scale)
{ return vcvtq_s32_f32(vmulq_n_f32(internal::vrecpq_f32(vcvtq_f32_s32(v2)), scale)); }
template <>
inline uint32x4_t recipSaturateQ<uint32x4_t>(const uint32x4_t &v2, const float scale)
{ return vcvtq_u32_f32(vmulq_n_f32(internal::vrecpq_f32(vcvtq_f32_u32(v2)), scale)); }
template <typename T>
inline T recipSaturate(const T &v2, const float scale)
{
return internal::vqmovn(recipSaturateQ(internal::vmovl(v2), scale));
}
template <>
inline int32x2_t recipSaturate<int32x2_t>(const int32x2_t &v2, const float scale)
{ return vcvt_s32_f32(vmul_n_f32(internal::vrecp_f32(vcvt_f32_s32(v2)), scale)); }
template <>
inline uint32x2_t recipSaturate<uint32x2_t>(const uint32x2_t &v2, const float scale)
{ return vcvt_u32_f32(vmul_n_f32(internal::vrecp_f32(vcvt_f32_u32(v2)), scale)); }
template <typename T>
inline T recipWrapQ(const T &v2, const float scale)
{
return internal::vcombine(internal::vmovn(recipWrapQ(internal::vmovl(internal::vget_low(v2)), scale)),
internal::vmovn(recipWrapQ(internal::vmovl(internal::vget_high(v2)), scale))
);
}
template <>
inline int32x4_t recipWrapQ<int32x4_t>(const int32x4_t &v2, const float scale)
{ return vcvtq_s32_f32(vmulq_n_f32(internal::vrecpq_f32(vcvtq_f32_s32(v2)), scale)); }
template <>
inline uint32x4_t recipWrapQ<uint32x4_t>(const uint32x4_t &v2, const float scale)
{ return vcvtq_u32_f32(vmulq_n_f32(internal::vrecpq_f32(vcvtq_f32_u32(v2)), scale)); }
template <typename T>
inline T recipWrap(const T &v2, const float scale)
{
return internal::vmovn(recipWrapQ(internal::vmovl(v2), scale));
}
template <>
inline int32x2_t recipWrap<int32x2_t>(const int32x2_t &v2, const float scale)
{ return vcvt_s32_f32(vmul_n_f32(internal::vrecp_f32(vcvt_f32_s32(v2)), scale)); }
template <>
inline uint32x2_t recipWrap<uint32x2_t>(const uint32x2_t &v2, const float scale)
{ return vcvt_u32_f32(vmul_n_f32(internal::vrecp_f32(vcvt_f32_u32(v2)), scale)); }
#endif
template <typename T>
void recip(const Size2D &size,
const T * src1Base, ptrdiff_t src1Stride,
T * dstBase, ptrdiff_t dstStride,
f32 scale,
CONVERT_POLICY cpolicy)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
typedef typename internal::VecTraits<T>::vec128 vec128;
typedef typename internal::VecTraits<T>::vec64 vec64;
#if defined(__GNUC__) && (defined(__GXX_EXPERIMENTAL_CXX0X__) || __cplusplus >= 201103L)
static_assert(std::numeric_limits<T>::is_integer, "template implementation is for integer types only");
#endif
if (scale == 0.0f ||
(std::numeric_limits<T>::is_integer &&
scale < 1.0f &&
scale > -1.0f))
{
for (size_t y = 0; y < size.height; ++y)
{
T * dst = internal::getRowPtr(dstBase, dstStride, y);
std::memset(dst, 0, sizeof(T) * size.width);
}
return;
}
const size_t step128 = 16 / sizeof(T);
size_t roiw128 = size.width >= (step128 - 1) ? size.width - step128 + 1 : 0;
const size_t step64 = 8 / sizeof(T);
size_t roiw64 = size.width >= (step64 - 1) ? size.width - step64 + 1 : 0;
for (size_t i = 0; i < size.height; ++i)
{
const T * src1 = internal::getRowPtr(src1Base, src1Stride, i);
T * dst = internal::getRowPtr(dstBase, dstStride, i);
size_t j = 0;
if (cpolicy == CONVERT_POLICY_SATURATE)
{
for (; j < roiw128; j += step128)
{
internal::prefetch(src1 + j);
vec128 v_src1 = internal::vld1q(src1 + j);
vec128 v_mask = vtstq(v_src1,v_src1);
internal::vst1q(dst + j, internal::vandq(v_mask, recipSaturateQ(v_src1, scale)));
}
for (; j < roiw64; j += step64)
{
vec64 v_src1 = internal::vld1(src1 + j);
vec64 v_mask = vtst(v_src1,v_src1);
internal::vst1(dst + j, internal::vand(v_mask, recipSaturate(v_src1, scale)));
}
for (; j < size.width; j++)
{
dst[j] = src1[j] ? internal::saturate_cast<T>(scale / src1[j]) : 0;
}
}
else // CONVERT_POLICY_WRAP
{
for (; j < roiw128; j += step128)
{
internal::prefetch(src1 + j);
vec128 v_src1 = internal::vld1q(src1 + j);
vec128 v_mask = vtstq(v_src1,v_src1);
internal::vst1q(dst + j, internal::vandq(v_mask, recipWrapQ(v_src1, scale)));
}
for (; j < roiw64; j += step64)
{
vec64 v_src1 = internal::vld1(src1 + j);
vec64 v_mask = vtst(v_src1,v_src1);
internal::vst1(dst + j, internal::vand(v_mask, recipWrap(v_src1, scale)));
}
for (; j < size.width; j++)
{
dst[j] = src1[j] ? (T)((s32)trunc(scale / src1[j])) : 0;
}
}
}
#else
(void)size;
(void)src1Base;
(void)src1Stride;
(void)dstBase;
(void)dstStride;
(void)cpolicy;
(void)scale;
#endif
}
}
void div(const Size2D &size,
const u8 * src0Base, ptrdiff_t src0Stride,
const u8 * src1Base, ptrdiff_t src1Stride,
u8 * dstBase, ptrdiff_t dstStride,
f32 scale,
CONVERT_POLICY cpolicy)
{
div<u8>(size, src0Base, src0Stride, src1Base, src1Stride, dstBase, dstStride, scale, cpolicy);
}
void div(const Size2D &size,
const s8 * src0Base, ptrdiff_t src0Stride,
const s8 * src1Base, ptrdiff_t src1Stride,
s8 * dstBase, ptrdiff_t dstStride,
f32 scale,
CONVERT_POLICY cpolicy)
{
div<s8>(size, src0Base, src0Stride, src1Base, src1Stride, dstBase, dstStride, scale, cpolicy);
}
void div(const Size2D &size,
const u16 * src0Base, ptrdiff_t src0Stride,
const u16 * src1Base, ptrdiff_t src1Stride,
u16 * dstBase, ptrdiff_t dstStride,
f32 scale,
CONVERT_POLICY cpolicy)
{
div<u16>(size, src0Base, src0Stride, src1Base, src1Stride, dstBase, dstStride, scale, cpolicy);
}
void div(const Size2D &size,
const s16 * src0Base, ptrdiff_t src0Stride,
const s16 * src1Base, ptrdiff_t src1Stride,
s16 * dstBase, ptrdiff_t dstStride,
f32 scale,
CONVERT_POLICY cpolicy)
{
div<s16>(size, src0Base, src0Stride, src1Base, src1Stride, dstBase, dstStride, scale, cpolicy);
}
void div(const Size2D &size,
const s32 * src0Base, ptrdiff_t src0Stride,
const s32 * src1Base, ptrdiff_t src1Stride,
s32 * dstBase, ptrdiff_t dstStride,
f32 scale,
CONVERT_POLICY cpolicy)
{
div<s32>(size, src0Base, src0Stride, src1Base, src1Stride, dstBase, dstStride, scale, cpolicy);
}
void div(const Size2D &size,
const f32 * src0Base, ptrdiff_t src0Stride,
const f32 * src1Base, ptrdiff_t src1Stride,
f32 * dstBase, ptrdiff_t dstStride,
f32 scale)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
if (scale == 0.0f)
{
for (size_t y = 0; y < size.height; ++y)
{
f32 * dst = internal::getRowPtr(dstBase, dstStride, y);
std::memset(dst, 0, sizeof(f32) * size.width);
}
return;
}
size_t roiw128 = size.width >= 3 ? size.width - 3 : 0;
size_t roiw64 = size.width >= 1 ? size.width - 1 : 0;
if (std::fabs(scale - 1.0f) < FLT_EPSILON)
{
for (size_t i = 0; i < size.height; ++i)
{
const f32 * src0 = internal::getRowPtr(src0Base, src0Stride, i);
const f32 * src1 = internal::getRowPtr(src1Base, src1Stride, i);
f32 * dst = internal::getRowPtr(dstBase, dstStride, i);
size_t j = 0;
for (; j < roiw128; j += 4)
{
internal::prefetch(src0 + j);
internal::prefetch(src1 + j);
float32x4_t v_src0 = vld1q_f32(src0 + j);
float32x4_t v_src1 = vld1q_f32(src1 + j);
vst1q_f32(dst + j, vmulq_f32(v_src0, internal::vrecpq_f32(v_src1)));
}
for (; j < roiw64; j += 2)
{
float32x2_t v_src0 = vld1_f32(src0 + j);
float32x2_t v_src1 = vld1_f32(src1 + j);
vst1_f32(dst + j, vmul_f32(v_src0, internal::vrecp_f32(v_src1)));
}
for (; j < size.width; j++)
{
dst[j] = src0[j] / src1[j];
}
}
}
else
{
for (size_t i = 0; i < size.height; ++i)
{
const f32 * src0 = internal::getRowPtr(src0Base, src0Stride, i);
const f32 * src1 = internal::getRowPtr(src1Base, src1Stride, i);
f32 * dst = internal::getRowPtr(dstBase, dstStride, i);
size_t j = 0;
for (; j < roiw128; j += 4)
{
internal::prefetch(src0 + j);
internal::prefetch(src1 + j);
float32x4_t v_src0 = vld1q_f32(src0 + j);
float32x4_t v_src1 = vld1q_f32(src1 + j);
vst1q_f32(dst + j, vmulq_f32(vmulq_n_f32(v_src0, scale),
internal::vrecpq_f32(v_src1)));
}
for (; j < roiw64; j += 2)
{
float32x2_t v_src0 = vld1_f32(src0 + j);
float32x2_t v_src1 = vld1_f32(src1 + j);
vst1_f32(dst + j, vmul_f32(vmul_n_f32(v_src0, scale),
internal::vrecp_f32(v_src1)));
}
for (; j < size.width; j++)
{
dst[j] = src0[j] * scale / src1[j];
}
}
}
#else
(void)size;
(void)src0Base;
(void)src0Stride;
(void)src1Base;
(void)src1Stride;
(void)dstBase;
(void)dstStride;
(void)scale;
#endif
}
void reciprocal(const Size2D &size,
const u8 * srcBase, ptrdiff_t srcStride,
u8 * dstBase, ptrdiff_t dstStride,
f32 scale,
CONVERT_POLICY cpolicy)
{
recip<u8>(size, srcBase, srcStride, dstBase, dstStride, scale, cpolicy);
}
void reciprocal(const Size2D &size,
const s8 * srcBase, ptrdiff_t srcStride,
s8 * dstBase, ptrdiff_t dstStride,
f32 scale,
CONVERT_POLICY cpolicy)
{
recip<s8>(size, srcBase, srcStride, dstBase, dstStride, scale, cpolicy);
}
void reciprocal(const Size2D &size,
const u16 * srcBase, ptrdiff_t srcStride,
u16 * dstBase, ptrdiff_t dstStride,
f32 scale,
CONVERT_POLICY cpolicy)
{
recip<u16>(size, srcBase, srcStride, dstBase, dstStride, scale, cpolicy);
}
void reciprocal(const Size2D &size,
const s16 * srcBase, ptrdiff_t srcStride,
s16 * dstBase, ptrdiff_t dstStride,
f32 scale,
CONVERT_POLICY cpolicy)
{
recip<s16>(size, srcBase, srcStride, dstBase, dstStride, scale, cpolicy);
}
void reciprocal(const Size2D &size,
const s32 * srcBase, ptrdiff_t srcStride,
s32 * dstBase, ptrdiff_t dstStride,
f32 scale,
CONVERT_POLICY cpolicy)
{
recip<s32>(size, srcBase, srcStride, dstBase, dstStride, scale, cpolicy);
}
void reciprocal(const Size2D &size,
const f32 * srcBase, ptrdiff_t srcStride,
f32 * dstBase, ptrdiff_t dstStride,
f32 scale)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
if (scale == 0.0f)
{
for (size_t y = 0; y < size.height; ++y)
{
f32 * dst = internal::getRowPtr(dstBase, dstStride, y);
std::memset(dst, 0, sizeof(f32) * size.width);
}
return;
}
size_t roiw128 = size.width >= 3 ? size.width - 3 : 0;
size_t roiw64 = size.width >= 1 ? size.width - 1 : 0;
if (std::fabs(scale - 1.0f) < FLT_EPSILON)
{
for (size_t i = 0; i < size.height; ++i)
{
const f32 * src1 = internal::getRowPtr(srcBase, srcStride, i);
f32 * dst = internal::getRowPtr(dstBase, dstStride, i);
size_t j = 0;
for (; j < roiw128; j += 4)
{
internal::prefetch(src1 + j);
float32x4_t v_src1 = vld1q_f32(src1 + j);
vst1q_f32(dst + j, internal::vrecpq_f32(v_src1));
}
for (; j < roiw64; j += 2)
{
float32x2_t v_src1 = vld1_f32(src1 + j);
vst1_f32(dst + j, internal::vrecp_f32(v_src1));
}
for (; j < size.width; j++)
{
dst[j] = 1.0f / src1[j];
}
}
}
else
{
for (size_t i = 0; i < size.height; ++i)
{
const f32 * src1 = internal::getRowPtr(srcBase, srcStride, i);
f32 * dst = internal::getRowPtr(dstBase, dstStride, i);
size_t j = 0;
for (; j < roiw128; j += 4)
{
internal::prefetch(src1 + j);
float32x4_t v_src1 = vld1q_f32(src1 + j);
vst1q_f32(dst + j, vmulq_n_f32(internal::vrecpq_f32(v_src1), scale));
}
for (; j < roiw64; j += 2)
{
float32x2_t v_src1 = vld1_f32(src1 + j);
vst1_f32(dst + j, vmul_n_f32(internal::vrecp_f32(v_src1), scale));
}
for (; j < size.width; j++)
{
dst[j] = scale / src1[j];
}
}
}
#else
(void)size;
(void)srcBase;
(void)srcStride;
(void)dstBase;
(void)dstStride;
(void)scale;
#endif
}
} // namespace CAROTENE_NS
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/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2012-2015, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#include "common.hpp"
namespace CAROTENE_NS {
f64 dotProduct(const Size2D &_size,
const u8 * src0Base, ptrdiff_t src0Stride,
const u8 * src1Base, ptrdiff_t src1Stride)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
Size2D size(_size);
if (src0Stride == src1Stride &&
src0Stride == (ptrdiff_t)(size.width))
{
size.width *= size.height;
size.height = 1;
}
// It is possible to accumulate up to 66051 uchar multiplication results in uint32 without overflow
// We process 16 elements and accumulate two new elements per step. So we could handle 66051/2*16 elements
#define DOT_UINT_BLOCKSIZE 66050*8
f64 result = 0.0;
for (size_t row = 0; row < size.height; ++row)
{
const u8 * src0 = internal::getRowPtr(src0Base, src0Stride, row);
const u8 * src1 = internal::getRowPtr(src1Base, src1Stride, row);
size_t i = 0;
uint64x2_t ws = vmovq_n_u64(0);
while(i + 16 <= size.width)
{
size_t lim = std::min(i + DOT_UINT_BLOCKSIZE, size.width) - 16;
uint32x4_t s1 = vmovq_n_u32(0);
uint32x4_t s2 = vmovq_n_u32(0);
for (; i <= lim; i += 16)
{
internal::prefetch(src0 + i);
internal::prefetch(src1 + i);
uint8x16_t vs1 = vld1q_u8(src0 + i);
uint8x16_t vs2 = vld1q_u8(src1 + i);
uint16x8_t vdot1 = vmull_u8(vget_low_u8(vs1), vget_low_u8(vs2));
uint16x8_t vdot2 = vmull_u8(vget_high_u8(vs1), vget_high_u8(vs2));
s1 = vpadalq_u16(s1, vdot1);
s2 = vpadalq_u16(s2, vdot2);
}
ws = vpadalq_u32(ws, s1);
ws = vpadalq_u32(ws, s2);
}
if(i + 8 <= size.width)
{
uint8x8_t vs1 = vld1_u8(src0 + i);
uint8x8_t vs2 = vld1_u8(src1 + i);
ws = vpadalq_u32(ws, vpaddlq_u16(vmull_u8(vs1, vs2)));
i += 8;
}
result += (double)vget_lane_u64(vadd_u64(vget_low_u64(ws), vget_high_u64(ws)), 0);
for (; i < size.width; ++i)
result += s32(src0[i]) * s32(src1[i]);
}
return result;
#else
(void)_size;
(void)src0Base;
(void)src0Stride;
(void)src1Base;
(void)src1Stride;
return 0;
#endif
}
f64 dotProduct(const Size2D &_size,
const s8 * src0Base, ptrdiff_t src0Stride,
const s8 * src1Base, ptrdiff_t src1Stride)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
Size2D size(_size);
if (src0Stride == src1Stride &&
src0Stride == (ptrdiff_t)(size.width))
{
size.width *= size.height;
size.height = 1;
}
// It is possible to accumulate up to 131071 schar multiplication results in sint32 without overflow
// We process 16 elements and accumulate two new elements per step. So we could handle 131071/2*16 elements
#define DOT_INT_BLOCKSIZE 131070*8
f64 result = 0.0;
for (size_t row = 0; row < size.height; ++row)
{
const s8 * src0 = internal::getRowPtr(src0Base, src0Stride, row);
const s8 * src1 = internal::getRowPtr(src1Base, src1Stride, row);
size_t i = 0;
int64x2_t ws = vmovq_n_s64(0);
while(i + 16 <= size.width)
{
size_t lim = std::min(i + DOT_UINT_BLOCKSIZE, size.width) - 16;
int32x4_t s1 = vmovq_n_s32(0);
int32x4_t s2 = vmovq_n_s32(0);
for (; i <= lim; i += 16)
{
internal::prefetch(src0 + i);
internal::prefetch(src1 + i);
int8x16_t vs1 = vld1q_s8(src0 + i);
int8x16_t vs2 = vld1q_s8(src1 + i);
int16x8_t vdot1 = vmull_s8(vget_low_s8(vs1), vget_low_s8(vs2));
int16x8_t vdot2 = vmull_s8(vget_high_s8(vs1), vget_high_s8(vs2));
s1 = vpadalq_s16(s1, vdot1);
s2 = vpadalq_s16(s2, vdot2);
}
ws = vpadalq_s32(ws, s1);
ws = vpadalq_s32(ws, s2);
}
if(i + 8 <= size.width)
{
int8x8_t vs1 = vld1_s8(src0 + i);
int8x8_t vs2 = vld1_s8(src1 + i);
ws = vpadalq_s32(ws, vpaddlq_s16(vmull_s8(vs1, vs2)));
i += 8;
}
result += (double)vget_lane_s64(vadd_s64(vget_low_s64(ws), vget_high_s64(ws)), 0);
for (; i < size.width; ++i)
result += s32(src0[i]) * s32(src1[i]);
}
return result;
#else
(void)_size;
(void)src0Base;
(void)src0Stride;
(void)src1Base;
(void)src1Stride;
return 0;
#endif
}
f64 dotProduct(const Size2D &_size,
const f32 * src0Base, ptrdiff_t src0Stride,
const f32 * src1Base, ptrdiff_t src1Stride)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
Size2D size(_size);
if (src0Stride == src1Stride &&
src0Stride == (ptrdiff_t)(size.width * sizeof(f32)))
{
size.width *= size.height;
size.height = 1;
}
#define DOT_FLOAT_BLOCKSIZE (1 << 13)
f64 result = 0.0;
for (size_t row = 0; row < size.height; ++row)
{
const f32 * src0 = internal::getRowPtr(src0Base, src0Stride, row);
const f32 * src1 = internal::getRowPtr(src1Base, src1Stride, row);
size_t i = 0;
while(i + 4 <= size.width)
{
size_t lim = std::min(i + DOT_FLOAT_BLOCKSIZE, size.width) - 4;
float32x4_t v_sum = vdupq_n_f32(0.0f);
for( ; i <= lim; i += 4 )
{
internal::prefetch(src0 + i);
internal::prefetch(src1 + i);
v_sum = vmlaq_f32(v_sum, vld1q_f32(src0 + i), vld1q_f32(src1 + i));
}
float32x2_t vres = vpadd_f32(vget_low_f32(v_sum),vget_high_f32(v_sum));
result += vget_lane_f32(vres, 0) + vget_lane_f32(vres, 1);
}
if(i + 2 <= size.width)
{
float32x2_t vres = vmul_f32(vld1_f32(src0 + i), vld1_f32(src1 + i));
result += vget_lane_f32(vres, 0) + vget_lane_f32(vres, 1);
i += 2;
}
for (; i < size.width; ++i)
result += src0[i] * src1[i];
}
return result;
#else
(void)_size;
(void)src0Base;
(void)src0Stride;
(void)src1Base;
(void)src1Stride;
return 0;
#endif
}
} // namespace CAROTENE_NS
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// This file is needed for compilation on some platforms e.g. with XCode generator
// Related issue: https://gitlab.kitware.com/cmake/cmake/-/issues/17457
+428
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/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2012-2015, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
/* This is FAST corner detector, contributed to OpenCV by the author, Edward Rosten.
Below is the original copyright and the references */
/*
Copyright (c) 2006, 2008 Edward Rosten
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions
are met:
*Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
*Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
*Neither the name of the University of Cambridge nor the names of
its contributors may be used to endorse or promote products derived
from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
/*
The references are:
* Machine learning for high-speed corner detection,
E. Rosten and T. Drummond, ECCV 2006
* Faster and better: A machine learning approach to corner detection
E. Rosten, R. Porter and T. Drummond, PAMI, 2009
*/
#include "common.hpp"
#include <vector>
#include <cstring>
namespace CAROTENE_NS {
#ifdef CAROTENE_NEON
namespace
{
void makeOffsets(ptrdiff_t pixel[], ptrdiff_t row_stride)
{
pixel[0] = 0 + row_stride * 3;
pixel[1] = 1 + row_stride * 3;
pixel[2] = 2 + row_stride * 2;
pixel[3] = 3 + row_stride * 1;
pixel[4] = 3 + row_stride * 0;
pixel[5] = 3 + row_stride * -1;
pixel[6] = 2 + row_stride * -2;
pixel[7] = 1 + row_stride * -3;
pixel[8] = 0 + row_stride * -3;
pixel[9] = -1 + row_stride * -3;
pixel[10] = -2 + row_stride * -2;
pixel[11] = -3 + row_stride * -1;
pixel[12] = -3 + row_stride * 0;
pixel[13] = -3 + row_stride * 1;
pixel[14] = -2 + row_stride * 2;
pixel[15] = -1 + row_stride * 3;
}
u8 cornerScore(const u8* ptr, const ptrdiff_t pixel[])
{
const s32 K = 8, N = 16 + K + 1;
s32 k, v = ptr[0];
s16 d[(N + 7) & ~7];
for( k = 0; k < N; k++ )
d[k] = (s16)(v - ptr[pixel[k]]);
int16x8_t q0 = vdupq_n_s16((s16)(-1000));
int16x8_t q1 = vdupq_n_s16((s16)(1000));
int16x8_t d0_7 = vld1q_s16(d + 0);
int16x8_t d8_15 = vld1q_s16(d + 8);
int16x8_t d16_23 = vld1q_s16(d + 16);
int16x8_t d24 = vld1q_s16(d + 24);
//k == 0
int16x8_t v0k0 = vextq_s16(d0_7, d8_15, 1);
int16x8_t v1k0 = vextq_s16(d0_7, d8_15, 2);
int16x8_t ak0 = vminq_s16(v0k0, v1k0);
int16x8_t bk0 = vmaxq_s16(v0k0, v1k0);
v0k0 = vextq_s16(d0_7, d8_15, 3);
ak0 = vminq_s16(ak0, v0k0);
bk0 = vmaxq_s16(bk0, v0k0);
v1k0 = vextq_s16(d0_7, d8_15, 4);
ak0 = vminq_s16(ak0, v1k0);
bk0 = vmaxq_s16(bk0, v1k0);
v0k0 = vextq_s16(d0_7, d8_15, 5);
ak0 = vminq_s16(ak0, v0k0);
bk0 = vmaxq_s16(bk0, v0k0);
v1k0 = vextq_s16(d0_7, d8_15, 6);
ak0 = vminq_s16(ak0, v1k0);
bk0 = vmaxq_s16(bk0, v1k0);
v0k0 = vextq_s16(d0_7, d8_15, 7);
ak0 = vminq_s16(ak0, v0k0);
bk0 = vmaxq_s16(bk0, v0k0);
ak0 = vminq_s16(ak0, d8_15);
bk0 = vmaxq_s16(bk0, d8_15);
q0 = vmaxq_s16(q0, vminq_s16(ak0, d0_7));
q1 = vminq_s16(q1, vmaxq_s16(bk0, d0_7));
v1k0 = vextq_s16(d8_15, d16_23, 1);
q0 = vmaxq_s16(q0, vminq_s16(ak0, v1k0));
q1 = vminq_s16(q1, vmaxq_s16(bk0, v1k0));
//k == 8
int16x8_t v0k8 = v1k0;
int16x8_t v1k8 = vextq_s16(d8_15, d16_23, 2);
int16x8_t ak8 = vminq_s16(v0k8, v1k8);
int16x8_t bk8 = vmaxq_s16(v0k8, v1k8);
v0k8 = vextq_s16(d8_15, d16_23, 3);
ak8 = vminq_s16(ak8, v0k8);
bk8 = vmaxq_s16(bk8, v0k8);
v1k8 = vextq_s16(d8_15, d16_23, 4);
ak8 = vminq_s16(ak8, v1k8);
bk8 = vmaxq_s16(bk8, v1k8);
v0k8 = vextq_s16(d8_15, d16_23, 5);
ak8 = vminq_s16(ak8, v0k8);
bk8 = vmaxq_s16(bk8, v0k8);
v1k8 = vextq_s16(d8_15, d16_23, 6);
ak8 = vminq_s16(ak8, v1k8);
bk8 = vmaxq_s16(bk8, v1k8);
v0k8 = vextq_s16(d8_15, d16_23, 7);
ak8 = vminq_s16(ak8, v0k8);
bk8 = vmaxq_s16(bk8, v0k8);
ak8 = vminq_s16(ak8, d16_23);
bk8 = vmaxq_s16(bk8, d16_23);
q0 = vmaxq_s16(q0, vminq_s16(ak8, d8_15));
q1 = vminq_s16(q1, vmaxq_s16(bk8, d8_15));
v1k8 = vextq_s16(d16_23, d24, 1);
q0 = vmaxq_s16(q0, vminq_s16(ak8, v1k8));
q1 = vminq_s16(q1, vmaxq_s16(bk8, v1k8));
//fin
int16x8_t q = vmaxq_s16(q0, vsubq_s16(vmovq_n_s16(0), q1));
int16x4_t q2 = vmax_s16(vget_low_s16(q), vget_high_s16(q));
int32x4_t q2w = vmovl_s16(q2);
int32x2_t q4 = vmax_s32(vget_low_s32(q2w), vget_high_s32(q2w));
int32x2_t q8 = vmax_s32(q4, vreinterpret_s32_s64(vshr_n_s64(vreinterpret_s64_s32(q4), 32)));
return (u8)(vget_lane_s32(q8, 0) - 1);
}
} //namespace
#endif
void FAST(const Size2D &size,
u8 *srcBase, ptrdiff_t srcStride,
KeypointStore *keypoints,
u8 threshold, bool nonmax_suppression)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
//keypoints.clear();
const s32 K = 8, N = 16 + K + 1;
ptrdiff_t i, j, k, pixel[N];
makeOffsets(pixel, srcStride);
for(k = 16; k < N; k++)
pixel[k] = pixel[k - 16];
uint8x16_t delta = vdupq_n_u8(128);
uint8x16_t t = vdupq_n_u8(threshold);
uint8x16_t K16 = vdupq_n_u8((u8)K);
u8 threshold_tab[512];
for( i = -255; i <= 255; i++ )
threshold_tab[i+255] = (u8)(i < -threshold ? 1 : i > threshold ? 2 : 0);
std::vector<u8> _buf((size.width+16)*3*(sizeof(ptrdiff_t) + sizeof(u8)) + 128);
u8* buf[3];
buf[0] = &_buf[0]; buf[1] = buf[0] + size.width; buf[2] = buf[1] + size.width;
ptrdiff_t* cpbuf[3];
cpbuf[0] = (ptrdiff_t*)internal::alignPtr(buf[2] + size.width, sizeof(ptrdiff_t)) + 1;
cpbuf[1] = cpbuf[0] + size.width + 1;
cpbuf[2] = cpbuf[1] + size.width + 1;
memset(buf[0], 0, size.width*3);
for(i = 3; i < (ptrdiff_t)size.height-2; i++)
{
const u8* ptr = internal::getRowPtr(srcBase, srcStride, i) + 3;
u8* curr = buf[(i - 3)%3];
ptrdiff_t* cornerpos = cpbuf[(i - 3)%3];
memset(curr, 0, size.width);
ptrdiff_t ncorners = 0;
if( i < (ptrdiff_t)size.height - 3 )
{
j = 3;
for(; j < (ptrdiff_t)size.width - 16 - 3; j += 16, ptr += 16)
{
internal::prefetch(ptr);
internal::prefetch(ptr + pixel[0]);
internal::prefetch(ptr + pixel[2]);
uint8x16_t v0 = vld1q_u8(ptr);
int8x16_t v1 = vreinterpretq_s8_u8(veorq_u8(vqsubq_u8(v0, t), delta));
int8x16_t v2 = vreinterpretq_s8_u8(veorq_u8(vqaddq_u8(v0, t), delta));
int8x16_t x0 = vreinterpretq_s8_u8(vsubq_u8(vld1q_u8(ptr + pixel[0]), delta));
int8x16_t x1 = vreinterpretq_s8_u8(vsubq_u8(vld1q_u8(ptr + pixel[4]), delta));
int8x16_t x2 = vreinterpretq_s8_u8(vsubq_u8(vld1q_u8(ptr + pixel[8]), delta));
int8x16_t x3 = vreinterpretq_s8_u8(vsubq_u8(vld1q_u8(ptr + pixel[12]), delta));
uint8x16_t m0 = vandq_u8(vcgtq_s8(x0, v2), vcgtq_s8(x1, v2));
uint8x16_t m1 = vandq_u8(vcgtq_s8(v1, x0), vcgtq_s8(v1, x1));
m0 = vorrq_u8(m0, vandq_u8(vcgtq_s8(x1, v2), vcgtq_s8(x2, v2)));
m1 = vorrq_u8(m1, vandq_u8(vcgtq_s8(v1, x1), vcgtq_s8(v1, x2)));
m0 = vorrq_u8(m0, vandq_u8(vcgtq_s8(x2, v2), vcgtq_s8(x3, v2)));
m1 = vorrq_u8(m1, vandq_u8(vcgtq_s8(v1, x2), vcgtq_s8(v1, x3)));
m0 = vorrq_u8(m0, vandq_u8(vcgtq_s8(x3, v2), vcgtq_s8(x0, v2)));
m1 = vorrq_u8(m1, vandq_u8(vcgtq_s8(v1, x3), vcgtq_s8(v1, x0)));
m0 = vorrq_u8(m0, m1);
u64 mask[2];
vst1q_u64(mask, vreinterpretq_u64_u8(m0));
if( mask[0] == 0 )
{
if (mask[1] != 0)
{
j -= 8;
ptr -= 8;
}
continue;
}
uint8x16_t c0 = vmovq_n_u8(0);
uint8x16_t c1 = vmovq_n_u8(0);
uint8x16_t max0 = vmovq_n_u8(0);
uint8x16_t max1 = vmovq_n_u8(0);
for( k = 0; k < N; k++ )
{
int8x16_t x = vreinterpretq_s8_u8(veorq_u8(vld1q_u8(ptr + pixel[k]), delta));
m0 = vcgtq_s8(x, v2);
m1 = vcgtq_s8(v1, x);
c0 = vandq_u8(vsubq_u8(c0, m0), m0);
c1 = vandq_u8(vsubq_u8(c1, m1), m1);
max0 = vmaxq_u8(max0, c0);
max1 = vmaxq_u8(max1, c1);
}
max0 = vmaxq_u8(max0, max1);
u8 m[16];
vst1q_u8(m, vcgtq_u8(max0, K16));
for( k = 0; k < 16; ++k )
if(m[k])
{
cornerpos[ncorners++] = j+k;
if(nonmax_suppression)
curr[j+k] = cornerScore(ptr+k, pixel);
}
}
for( ; j < (s32)size.width - 3; j++, ptr++ )
{
s32 v = ptr[0];
const u8* tab = &threshold_tab[0] - v + 255;
s32 d = tab[ptr[pixel[0]]] | tab[ptr[pixel[8]]];
if( d == 0 )
continue;
d &= tab[ptr[pixel[2]]] | tab[ptr[pixel[10]]];
d &= tab[ptr[pixel[4]]] | tab[ptr[pixel[12]]];
d &= tab[ptr[pixel[6]]] | tab[ptr[pixel[14]]];
if( d == 0 )
continue;
d &= tab[ptr[pixel[1]]] | tab[ptr[pixel[9]]];
d &= tab[ptr[pixel[3]]] | tab[ptr[pixel[11]]];
d &= tab[ptr[pixel[5]]] | tab[ptr[pixel[13]]];
d &= tab[ptr[pixel[7]]] | tab[ptr[pixel[15]]];
if( d & 1 )
{
s32 vt = v - threshold, count = 0;
for( k = 0; k < N; k++ )
{
s32 x = ptr[pixel[k]];
if(x < vt)
{
if( ++count > K )
{
cornerpos[ncorners++] = j;
if(nonmax_suppression)
curr[j] = cornerScore(ptr, pixel);
break;
}
}
else
count = 0;
}
}
if( d & 2 )
{
s32 vt = v + threshold, count = 0;
for( k = 0; k < N; k++ )
{
s32 x = ptr[pixel[k]];
if(x > vt)
{
if( ++count > K )
{
cornerpos[ncorners++] = j;
if(nonmax_suppression)
curr[j] = cornerScore(ptr, pixel);
break;
}
}
else
count = 0;
}
}
}
}
cornerpos[-1] = ncorners;
if( i == 3 )
continue;
const u8* prev = buf[(i - 4 + 3)%3];
const u8* pprev = buf[(i - 5 + 3)%3];
cornerpos = cpbuf[(i - 4 + 3)%3];
ncorners = cornerpos[-1];
for( k = 0; k < ncorners; k++ )
{
j = cornerpos[k];
s32 score = prev[j];
if( !nonmax_suppression ||
(score > prev[j+1] && score > prev[j-1] &&
score > pprev[j-1] && score > pprev[j] && score > pprev[j+1] &&
score > curr[j-1] && score > curr[j] && score > curr[j+1]) )
{
keypoints->push((f32)j, (f32)(i-1), 7.f, -1, (f32)score);
}
}
}
#else
(void)size;
(void)srcBase;
(void)srcStride;
(void)keypoints;
(void)threshold;
(void)nonmax_suppression;
#endif
}
} // namespace CAROTENE_NS
+442
View File
@@ -0,0 +1,442 @@
/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2014, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#include "common.hpp"
namespace CAROTENE_NS {
#ifdef CAROTENE_NEON
namespace {
template <typename T>
void process(const T * src, size_t j0, size_t j1, size_t i,
T minVal, size_t * minLocPtr, s32 & minLocCount, s32 minLocCapacity,
T maxVal, size_t * maxLocPtr, s32 & maxLocCount, s32 maxLocCapacity)
{
for (size_t j = j0; j < j1; ++j)
{
T val = src[j];
if (val == maxVal)
{
if (maxLocCount < maxLocCapacity)
{
maxLocPtr[maxLocCount] = j;
maxLocPtr[maxLocCount + 1] = i;
}
maxLocCount += 2;
}
if (val == minVal)
{
if (minLocCount < minLocCapacity)
{
minLocPtr[minLocCount] = j;
minLocPtr[minLocCount + 1] = i;
}
minLocCount += 2;
}
}
}
} // namespace
#endif
void fillMinMaxLocs(const Size2D & size,
const u8 * srcBase, ptrdiff_t srcStride,
u8 minVal, size_t * minLocPtr, s32 & minLocCount, s32 minLocCapacity,
u8 maxVal, size_t * maxLocPtr, s32 & maxLocCount, s32 maxLocCapacity)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
size_t roiw16 = size.width >= 15 ? size.width - 15 : 0;
size_t roiw8 = size.width >= 7 ? size.width - 7 : 0;
uint8x16_t v_maxval16 = vdupq_n_u8(maxVal), v_minval16 = vdupq_n_u8(minVal);
uint8x8_t v_maxval8 = vdup_n_u8(maxVal), v_minval8 = vdup_n_u8(minVal);
u64 mask[2] = { 0ul };
minLocCapacity <<= 1;
maxLocCapacity <<= 1;
for (size_t i = 0; i < size.height; ++i)
{
const u8 * src = internal::getRowPtr(srcBase, srcStride, i);
size_t j = 0;
for ( ; j < roiw16; j += 16)
{
internal::prefetch(src + j);
uint8x16_t v_src = vld1q_u8(src + j);
uint8x16_t v_maxmask = vceqq_u8(v_src, v_maxval16);
uint8x16_t v_minmask = vceqq_u8(v_src, v_minval16);
uint8x16_t v_mask = vorrq_u8(v_maxmask, v_minmask);
vst1q_u8((u8 *)&mask[0], v_mask);
if (mask[0])
process(src, j, j + 8, i,
minVal, minLocPtr, minLocCount, minLocCapacity,
maxVal, maxLocPtr, maxLocCount, maxLocCapacity);
if (mask[1])
process(src, j + 8, j + 16, i,
minVal, minLocPtr, minLocCount, minLocCapacity,
maxVal, maxLocPtr, maxLocCount, maxLocCapacity);
}
for ( ; j < roiw8; j += 8)
{
uint8x8_t v_src = vld1_u8(src + j);
uint8x8_t v_maxmask = vceq_u8(v_src, v_maxval8);
uint8x8_t v_minmask = vceq_u8(v_src, v_minval8);
uint8x8_t v_mask = vorr_u8(v_maxmask, v_minmask);
vst1_u8((u8 *)&mask[0], v_mask);
if (mask[0])
process(src, j, j + 8, i,
minVal, minLocPtr, minLocCount, minLocCapacity,
maxVal, maxLocPtr, maxLocCount, maxLocCapacity);
}
process(src, j, size.width, i,
minVal, minLocPtr, minLocCount, minLocCapacity,
maxVal, maxLocPtr, maxLocCount, maxLocCapacity);
}
minLocCount >>= 1;
maxLocCount >>= 1;
#else
(void)size;
(void)srcBase;
(void)srcStride;
(void)minVal;
(void)minLocPtr;
(void)minLocCount;
(void)minLocCapacity;
(void)maxVal;
(void)maxLocPtr;
(void)maxLocCount;
(void)maxLocCapacity;
#endif
}
void fillMinMaxLocs(const Size2D & size,
const u16 * srcBase, ptrdiff_t srcStride,
u16 minVal, size_t * minLocPtr, s32 & minLocCount, s32 minLocCapacity,
u16 maxVal, size_t * maxLocPtr, s32 & maxLocCount, s32 maxLocCapacity)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
size_t roiw16 = size.width >= 15 ? size.width - 15 : 0;
size_t roiw8 = size.width >= 7 ? size.width - 7 : 0;
uint16x8_t v_maxval8 = vdupq_n_u16(maxVal),
v_minval8 = vdupq_n_u16(minVal);
u64 mask[2] = { 0ul };
minLocCapacity <<= 1;
maxLocCapacity <<= 1;
for (size_t i = 0; i < size.height; ++i)
{
const u16 * src = internal::getRowPtr(srcBase, srcStride, i);
size_t j = 0;
for ( ; j < roiw16; j += 16)
{
internal::prefetch(src + j);
uint16x8_t v_src0 = vld1q_u16(src + j), v_src1 = vld1q_u16(src + j + 8);
uint16x8_t v_mask0 = vorrq_u16(vceqq_u16(v_src0, v_maxval8), vceqq_u16(v_src0, v_minval8));
uint16x8_t v_mask1 = vorrq_u16(vceqq_u16(v_src1, v_maxval8), vceqq_u16(v_src1, v_minval8));
vst1q_u8((u8 *)&mask[0], vcombine_u8(vmovn_u16(v_mask0), vmovn_u16(v_mask1)));
if (mask[0])
process(src, j, j + 8, i,
minVal, minLocPtr, minLocCount, minLocCapacity,
maxVal, maxLocPtr, maxLocCount, maxLocCapacity);
if (mask[1])
process(src, j + 8, j + 16, i,
minVal, minLocPtr, minLocCount, minLocCapacity,
maxVal, maxLocPtr, maxLocCount, maxLocCapacity);
}
for ( ; j < roiw8; j += 8)
{
internal::prefetch(src + j);
uint16x8_t v_src = vld1q_u16(src + j);
uint16x8_t v_maxmask = vceqq_u16(v_src, v_maxval8);
uint16x8_t v_minmask = vceqq_u16(v_src, v_minval8);
uint16x8_t v_mask = vorrq_u16(v_maxmask, v_minmask);
vst1_u8((u8 *)&mask[0], vmovn_u16(v_mask));
if (mask[0])
process(src, j, j + 8, i,
minVal, minLocPtr, minLocCount, minLocCapacity,
maxVal, maxLocPtr, maxLocCount, maxLocCapacity);
}
process(src, j, size.width, i,
minVal, minLocPtr, minLocCount, minLocCapacity,
maxVal, maxLocPtr, maxLocCount, maxLocCapacity);
}
minLocCount >>= 1;
maxLocCount >>= 1;
#else
(void)size;
(void)srcBase;
(void)srcStride;
(void)minVal;
(void)minLocPtr;
(void)minLocCount;
(void)minLocCapacity;
(void)maxVal;
(void)maxLocPtr;
(void)maxLocCount;
(void)maxLocCapacity;
#endif
}
void fillMinMaxLocs(const Size2D & size,
const s16 * srcBase, ptrdiff_t srcStride,
s16 minVal, size_t * minLocPtr, s32 & minLocCount, s32 minLocCapacity,
s16 maxVal, size_t * maxLocPtr, s32 & maxLocCount, s32 maxLocCapacity)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
size_t roiw16 = size.width >= 15 ? size.width - 15 : 0;
size_t roiw8 = size.width >= 7 ? size.width - 7 : 0;
int16x8_t v_maxval8 = vdupq_n_s16(maxVal),
v_minval8 = vdupq_n_s16(minVal);
u64 mask[2] = { 0ul };
minLocCapacity <<= 1;
maxLocCapacity <<= 1;
for (size_t i = 0; i < size.height; ++i)
{
const s16 * src = internal::getRowPtr(srcBase, srcStride, i);
size_t j = 0;
for ( ; j < roiw16; j += 16)
{
internal::prefetch(src + j);
int16x8_t v_src0 = vld1q_s16(src + j), v_src1 = vld1q_s16(src + j + 8);
uint16x8_t v_mask0 = vorrq_u16(vceqq_s16(v_src0, v_maxval8), vceqq_s16(v_src0, v_minval8));
uint16x8_t v_mask1 = vorrq_u16(vceqq_s16(v_src1, v_maxval8), vceqq_s16(v_src1, v_minval8));
vst1q_u8((u8 *)&mask[0], vcombine_u8(vmovn_u16(v_mask0), vmovn_u16(v_mask1)));
if (mask[0])
process(src, j, j + 8, i,
minVal, minLocPtr, minLocCount, minLocCapacity,
maxVal, maxLocPtr, maxLocCount, maxLocCapacity);
if (mask[1])
process(src, j + 8, j + 16, i,
minVal, minLocPtr, minLocCount, minLocCapacity,
maxVal, maxLocPtr, maxLocCount, maxLocCapacity);
}
for ( ; j < roiw8; j += 8)
{
internal::prefetch(src + j);
int16x8_t v_src = vld1q_s16(src + j);
uint16x8_t v_maxmask = vceqq_s16(v_src, v_maxval8);
uint16x8_t v_minmask = vceqq_s16(v_src, v_minval8);
uint16x8_t v_mask = vorrq_u16(v_maxmask, v_minmask);
vst1_u8((u8 *)&mask[0], vmovn_u16(v_mask));
if (mask[0])
process(src, j, j + 8, i,
minVal, minLocPtr, minLocCount, minLocCapacity,
maxVal, maxLocPtr, maxLocCount, maxLocCapacity);
}
process(src, j, size.width, i,
minVal, minLocPtr, minLocCount, minLocCapacity,
maxVal, maxLocPtr, maxLocCount, maxLocCapacity);
}
minLocCount >>= 1;
maxLocCount >>= 1;
#else
(void)size;
(void)srcBase;
(void)srcStride;
(void)minVal;
(void)minLocPtr;
(void)minLocCount;
(void)minLocCapacity;
(void)maxVal;
(void)maxLocPtr;
(void)maxLocCount;
(void)maxLocCapacity;
#endif
}
void fillMinMaxLocs(const Size2D & size,
const s32 * srcBase, ptrdiff_t srcStride,
s32 minVal, size_t * minLocPtr, s32 & minLocCount, s32 minLocCapacity,
s32 maxVal, size_t * maxLocPtr, s32 & maxLocCount, s32 maxLocCapacity)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
size_t roiw8 = size.width >= 7 ? size.width - 7 : 0;
int32x4_t v_maxval4 = vdupq_n_s32(maxVal),
v_minval4 = vdupq_n_s32(minVal);
u64 mask = 0ul;
minLocCapacity <<= 1;
maxLocCapacity <<= 1;
for (size_t i = 0; i < size.height; ++i)
{
const s32 * src = internal::getRowPtr(srcBase, srcStride, i);
size_t j = 0;
for ( ; j < roiw8; j += 8)
{
internal::prefetch(src + j);
int32x4_t v_src0 = vld1q_s32(src + j), v_src1 = vld1q_s32(src + j + 4);
uint32x4_t v_mask0 = vorrq_u32(vceqq_s32(v_src0, v_maxval4), vceqq_s32(v_src0, v_minval4));
uint32x4_t v_mask1 = vorrq_u32(vceqq_s32(v_src1, v_maxval4), vceqq_s32(v_src1, v_minval4));
vst1_u8((u8 *)&mask, vmovn_u16(vcombine_u16(vmovn_u32(v_mask0), vmovn_u32(v_mask1))));
if (mask)
process(src, j, j + 8, i,
minVal, minLocPtr, minLocCount, minLocCapacity,
maxVal, maxLocPtr, maxLocCount, maxLocCapacity);
}
process(src, j, size.width, i,
minVal, minLocPtr, minLocCount, minLocCapacity,
maxVal, maxLocPtr, maxLocCount, maxLocCapacity);
}
minLocCount >>= 1;
maxLocCount >>= 1;
#else
(void)size;
(void)srcBase;
(void)srcStride;
(void)minVal;
(void)minLocPtr;
(void)minLocCount;
(void)minLocCapacity;
(void)maxVal;
(void)maxLocPtr;
(void)maxLocCount;
(void)maxLocCapacity;
#endif
}
void fillMinMaxLocs(const Size2D & size,
const u32 * srcBase, ptrdiff_t srcStride,
u32 minVal, size_t * minLocPtr, s32 & minLocCount, s32 minLocCapacity,
u32 maxVal, size_t * maxLocPtr, s32 & maxLocCount, s32 maxLocCapacity)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
size_t roiw8 = size.width >= 7 ? size.width - 7 : 0;
uint32x4_t v_maxval4 = vdupq_n_u32(maxVal),
v_minval4 = vdupq_n_u32(minVal);
u64 mask = 0ul;
minLocCapacity <<= 1;
maxLocCapacity <<= 1;
for (size_t i = 0; i < size.height; ++i)
{
const u32 * src = internal::getRowPtr(srcBase, srcStride, i);
size_t j = 0;
for ( ; j < roiw8; j += 8)
{
internal::prefetch(src + j);
uint32x4_t v_src0 = vld1q_u32(src + j), v_src1 = vld1q_u32(src + j + 4);
uint32x4_t v_mask0 = vorrq_u32(vceqq_u32(v_src0, v_maxval4), vceqq_u32(v_src0, v_minval4));
uint32x4_t v_mask1 = vorrq_u32(vceqq_u32(v_src1, v_maxval4), vceqq_u32(v_src1, v_minval4));
vst1_u8((u8 *)&mask, vmovn_u16(vcombine_u16(vmovn_u32(v_mask0), vmovn_u32(v_mask1))));
if (mask)
process(src, j, j + 8, i,
minVal, minLocPtr, minLocCount, minLocCapacity,
maxVal, maxLocPtr, maxLocCount, maxLocCapacity);
}
process(src, j, size.width, i,
minVal, minLocPtr, minLocCount, minLocCapacity,
maxVal, maxLocPtr, maxLocCount, maxLocCapacity);
}
minLocCount >>= 1;
maxLocCount >>= 1;
#else
(void)size;
(void)srcBase;
(void)srcStride;
(void)minVal;
(void)minLocPtr;
(void)minLocCount;
(void)minLocCapacity;
(void)maxVal;
(void)maxLocPtr;
(void)maxLocCount;
(void)maxLocCapacity;
#endif
}
} // namespace CAROTENE_NS
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/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2014, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#include "common.hpp"
#include "vtransform.hpp"
#include <cstring>
namespace CAROTENE_NS {
bool isFlipSupported(FLIP_MODE flipMode, u32 elemSize)
{
bool supportedElemSize = (elemSize == 1) || (elemSize == 2) || (elemSize == 3) || (elemSize == 4);
return isSupportedConfiguration() &&
((supportedElemSize && ((flipMode == FLIP_BOTH_MODE) || (flipMode == FLIP_HORIZONTAL_MODE))) ||
(flipMode == FLIP_VERTICAL_MODE));
}
#ifdef CAROTENE_NEON
namespace {
template <typename T>
void flip(const Size2D & size,
const void * srcBase, ptrdiff_t srcStride,
void * dstBase, ptrdiff_t dstStride,
FLIP_MODE flipMode)
{
using namespace internal;
typedef typename VecTraits<T>::vec128 vec128;
typedef typename VecTraits<T>::vec64 vec64;
u32 step_base = 16 / sizeof(T), step_tail = 8 / sizeof(T);
size_t roiw_base = size.width >= (step_base - 1) ? size.width - step_base + 1 : 0;
size_t roiw_tail = size.width >= (step_tail - 1) ? size.width - step_tail + 1 : 0;
for (size_t i = 0; i < size.height; ++i)
{
const T * src = getRowPtr((const T *)srcBase, srcStride, i);
T * dst = getRowPtr((T *)dstBase, dstStride, (flipMode & FLIP_VERTICAL_MODE) != 0 ? size.height - i - 1 : i);
size_t js = 0, jd = size.width;
for (; js < roiw_base; js += step_base, jd -= step_base)
{
prefetch(src + js);
vec128 v_src = vld1q(src + js);
vec128 v_dst = vrev64q(v_src);
v_dst = vcombine(vget_high(v_dst), vget_low(v_dst));
vst1q(dst + jd - step_base, v_dst);
}
for (; js < roiw_tail; js += step_tail, jd -= step_tail)
{
vec64 v_src = vld1(src + js);
vst1(dst + jd - step_tail, vrev64(v_src));
}
for (--jd; js < size.width; ++js, --jd)
dst[jd] = src[js];
}
}
template <typename T>
void flip3(const Size2D & size,
const void * srcBase, ptrdiff_t srcStride,
void * dstBase, ptrdiff_t dstStride,
FLIP_MODE flipMode)
{
using namespace internal;
#ifndef __ANDROID__
typedef typename VecTraits<T, 3>::vec128 vec128;
#endif
typedef typename VecTraits<T, 3>::vec64 vec64;
#ifndef __ANDROID__
u32 step_base = 16 / sizeof(T), step_base3 = step_base * 3;
size_t roiw_base = size.width >= (step_base - 1) ? size.width - step_base + 1 : 0;
#endif
u32 step_tail = 8 / sizeof(T), step_tail3 = step_tail * 3;
size_t roiw_tail = size.width >= (step_tail - 1) ? size.width - step_tail + 1 : 0;
for (size_t i = 0; i < size.height; ++i)
{
const T * src = getRowPtr((const T *)srcBase, srcStride, i);
T * dst = getRowPtr((T *)dstBase, dstStride, (flipMode & FLIP_VERTICAL_MODE) != 0 ? size.height - i - 1 : i);
size_t j = 0, js = 0, jd = size.width * 3;
#ifndef __ANDROID__
for (; j < roiw_base; j += step_base, js += step_base3, jd -= step_base3)
{
prefetch(src + js);
vec128 v_src = vld3q(src + js), v_dst;
v_src.val[0] = vrev64q(v_src.val[0]);
v_src.val[1] = vrev64q(v_src.val[1]);
v_src.val[2] = vrev64q(v_src.val[2]);
v_dst.val[0] = vcombine(vget_high(v_src.val[0]), vget_low(v_src.val[0]));
v_dst.val[1] = vcombine(vget_high(v_src.val[1]), vget_low(v_src.val[1]));
v_dst.val[2] = vcombine(vget_high(v_src.val[2]), vget_low(v_src.val[2]));
vst3q(dst + jd - step_base3, v_dst);
}
#endif // __ANDROID__
for (; j < roiw_tail; j += step_tail, js += step_tail3, jd -= step_tail3)
{
vec64 v_src = vld3(src + js), v_dst;
v_dst.val[0] = vrev64(v_src.val[0]);
v_dst.val[1] = vrev64(v_src.val[1]);
v_dst.val[2] = vrev64(v_src.val[2]);
vst3(dst + jd - step_tail3, v_dst);
}
for (jd -= 3; j < size.width; ++j, js += 3, jd -= 3)
{
dst[jd] = src[js];
dst[jd + 1] = src[js + 1];
dst[jd + 2] = src[js + 2];
}
}
}
typedef void (* flipFunc)(const Size2D &size,
const void * srcBase, ptrdiff_t srcStride,
void * dstBase, ptrdiff_t dstStride,
FLIP_MODE flipMode);
} // namespace
#endif
void flip(const Size2D &size,
const u8 * srcBase, ptrdiff_t srcStride,
u8 * dstBase, ptrdiff_t dstStride,
FLIP_MODE flipMode, u32 elemSize)
{
internal::assertSupportedConfiguration(isFlipSupported(flipMode, elemSize));
#ifdef CAROTENE_NEON
if (flipMode == FLIP_VERTICAL_MODE)
{
for (size_t y = 0; y < size.height; ++y)
{
const u8 * src_row = internal::getRowPtr(srcBase, srcStride, y);
u8 * dst_row = internal::getRowPtr(dstBase, dstStride, size.height - y - 1);
std::memcpy(dst_row, src_row, elemSize * size.width);
}
return;
}
flipFunc func = NULL;
if (elemSize == (u32)sizeof(u8))
func = &flip<u8>;
if (elemSize == (u32)sizeof(u16))
func = &flip<u16>;
if (elemSize == (u32)sizeof(u32))
func = &flip<u32>;
if (elemSize == (u32)sizeof(u8) * 3)
func = &flip3<u8>;
if (func == NULL)
return;
func(size,
srcBase, srcStride,
dstBase, dstStride,
flipMode);
#else
(void)size;
(void)srcBase;
(void)srcStride;
(void)dstBase;
(void)dstStride;
(void)flipMode;
(void)elemSize;
#endif
}
} // namespace CAROTENE_NS
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/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2012-2015, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#include "common.hpp"
#include "vtransform.hpp"
namespace CAROTENE_NS {
#ifdef CAROTENE_NEON
namespace {
inline void vnst(u8* dst, uint8x16_t v1, uint8x16_t v2) { vst1q_u8(dst, v1); vst1q_u8(dst+16, v2); }
inline void vnst(u8* dst, uint16x8_t v1, uint16x8_t v2) { vst1q_u8(dst, vcombine_u8(vmovn_u16(v1), vmovn_u16(v2))); }
inline void vnst(u8* dst, uint32x4_t v1, uint32x4_t v2) { vst1_u8(dst, vmovn_u16(vcombine_u16(vmovn_u32(v1), vmovn_u32(v2)))); }
template <typename T, int elsize> struct vtail
{
static inline void inRange(const T *, const T *, const T *,
u8 *, size_t &, size_t)
{
//do nothing since there couldn't be enough data
}
};
template <typename T> struct vtail<T, 2>
{
static inline void inRange(const T * src, const T * rng1, const T * rng2,
u8 * dst, size_t &x, size_t width)
{
typedef typename internal::VecTraits<T>::vec128 vec128;
typedef typename internal::VecTraits<T>::unsign::vec128 uvec128;
//There no more than 15 elements in the tail, so we could handle 8 element vector only once
if( x + 8 < width)
{
vec128 vs = internal::vld1q( src + x);
vec128 vr1 = internal::vld1q(rng1 + x);
vec128 vr2 = internal::vld1q(rng2 + x);
uvec128 vd = internal::vandq(internal::vcgeq(vs, vr1), internal::vcgeq(vr2, vs));
internal::vst1(dst + x, internal::vmovn(vd));
x+=8;
}
}
};
template <typename T> struct vtail<T, 1>
{
static inline void inRange(const T * src, const T * rng1, const T * rng2,
u8 * dst, size_t &x, size_t width)
{
typedef typename internal::VecTraits<T>::vec128 vec128;
typedef typename internal::VecTraits<T>::unsign::vec128 uvec128;
typedef typename internal::VecTraits<T>::vec64 vec64;
typedef typename internal::VecTraits<T>::unsign::vec64 uvec64;
//There no more than 31 elements in the tail, so we could handle once 16+8 or 16 or 8 elements
if( x + 16 < width)
{
vec128 vs = internal::vld1q( src + x);
vec128 vr1 = internal::vld1q(rng1 + x);
vec128 vr2 = internal::vld1q(rng2 + x);
uvec128 vd = internal::vandq(internal::vcgeq(vs, vr1), internal::vcgeq(vr2, vs));
internal::vst1q(dst + x, vd);
x+=16;
}
if( x + 8 < width)
{
vec64 vs = internal::vld1( src + x);
vec64 vr1 = internal::vld1(rng1 + x);
vec64 vr2 = internal::vld1(rng2 + x);
uvec64 vd = internal::vand(internal::vcge(vs, vr1), internal::vcge(vr2, vs));
internal::vst1(dst + x, vd);
x+=8;
}
}
};
template <typename T>
inline void inRangeCheck(const Size2D &_size,
const T * srcBase, ptrdiff_t srcStride,
const T * rng1Base, ptrdiff_t rng1Stride,
const T * rng2Base, ptrdiff_t rng2Stride,
u8 * dstBase, ptrdiff_t dstStride)
{
typedef typename internal::VecTraits<T>::vec128 vec128;
typedef typename internal::VecTraits<T>::unsign::vec128 uvec128;
Size2D size(_size);
if (srcStride == dstStride &&
srcStride == rng1Stride &&
srcStride == rng2Stride &&
srcStride == (ptrdiff_t)(size.width))
{
size.width *= size.height;
size.height = 1;
}
const size_t width = size.width & ~( 32/sizeof(T) - 1 );
for(size_t j = 0; j < size.height; ++j)
{
const T * src = internal::getRowPtr( srcBase, srcStride, j);
const T * rng1 = internal::getRowPtr(rng1Base, rng1Stride, j);
const T * rng2 = internal::getRowPtr(rng2Base, rng2Stride, j);
u8 * dst = internal::getRowPtr( dstBase, dstStride, j);
size_t i = 0;
for( ; i < width; i += 32/sizeof(T) )
{
internal::prefetch(src + i);
internal::prefetch(rng1 + i);
internal::prefetch(rng2 + i);
vec128 vs = internal::vld1q( src + i);
vec128 vr1 = internal::vld1q(rng1 + i);
vec128 vr2 = internal::vld1q(rng2 + i);
uvec128 vd1 = internal::vandq(internal::vcgeq(vs, vr1), internal::vcgeq(vr2, vs));
vs = internal::vld1q( src + i + 16/sizeof(T));
vr1 = internal::vld1q(rng1 + i + 16/sizeof(T));
vr2 = internal::vld1q(rng2 + i + 16/sizeof(T));
uvec128 vd2 = internal::vandq(internal::vcgeq(vs, vr1), internal::vcgeq(vr2, vs));
vnst(dst + i, vd1, vd2);
}
vtail<T, sizeof(T)>::inRange(src, rng1, rng2, dst, i, size.width);
for( ; i < size.width; i++ )
dst[i] = (u8)(-(rng1[i] <= src[i] && src[i] <= rng2[i]));
}
}
}
#define INRANGEFUNC(T) \
void inRange(const Size2D &_size, \
const T * srcBase, ptrdiff_t srcStride, \
const T * rng1Base, ptrdiff_t rng1Stride, \
const T * rng2Base, ptrdiff_t rng2Stride, \
u8 * dstBase, ptrdiff_t dstStride) \
{ \
internal::assertSupportedConfiguration(); \
inRangeCheck(_size, srcBase, srcStride, \
rng1Base, rng1Stride, rng2Base, rng2Stride, \
dstBase, dstStride); \
}
#else
#define INRANGEFUNC(T) \
void inRange(const Size2D &, \
const T *, ptrdiff_t, \
const T *, ptrdiff_t, \
const T *, ptrdiff_t, \
u8 *, ptrdiff_t) \
{ \
internal::assertSupportedConfiguration(); \
}
#endif
INRANGEFUNC(u8)
INRANGEFUNC(s8)
INRANGEFUNC(u16)
INRANGEFUNC(s16)
INRANGEFUNC(s32)
INRANGEFUNC(f32)
} // namespace CAROTENE_NS
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/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2012-2014, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#include "common.hpp"
namespace CAROTENE_NS {
void integral(const Size2D &size,
const u8 * srcBase, ptrdiff_t srcStride,
u32 * sumBase, ptrdiff_t sumStride)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
uint32x4_t v_zero = vmovq_n_u32(0u);
// the first iteration
const u8 * src = internal::getRowPtr(srcBase, srcStride, 0);
u32 * sum = internal::getRowPtr(sumBase, sumStride, 0);
uint32x4_t prev = v_zero;
size_t j = 0u;
for ( ; j + 7 < size.width; j += 8)
{
internal::prefetch(sum + j);
internal::prefetch(src + j);
uint8x8_t el8shr0 = vld1_u8(src + j);
uint8x8_t el8shr1 = vreinterpret_u8_u64(vshl_n_u64(vreinterpret_u64_u8(el8shr0), 8));
uint8x8_t el8shr2 = vreinterpret_u8_u64(vshl_n_u64(vreinterpret_u64_u8(el8shr0), 16));
uint8x8_t el8shr3 = vreinterpret_u8_u64(vshl_n_u64(vreinterpret_u64_u8(el8shr0), 24));
uint16x8_t el8shr12 = vaddl_u8(el8shr1, el8shr2);
uint16x8_t el8shr03 = vaddl_u8(el8shr0, el8shr3);
uint16x8_t el8 = vaddq_u16(el8shr12, el8shr03);
uint16x4_t el4h = vadd_u16(vget_low_u16(el8), vget_high_u16(el8));
uint32x4_t vsuml = vaddw_u16(prev, vget_low_u16(el8));
uint32x4_t vsumh = vaddw_u16(prev, el4h);
vst1q_u32(sum + j, vsuml);
vst1q_u32(sum + j + 4, vsumh);
prev = vaddw_u16(prev, vdup_lane_u16(el4h, 3));
}
for (u32 v = vgetq_lane_u32(prev, 3); j < size.width; ++j)
sum[j] = (v += src[j]);
// the others
for (size_t i = 1; i < size.height ; ++i)
{
src = internal::getRowPtr(srcBase, srcStride, i);
u32 * prevSum = internal::getRowPtr(sumBase, sumStride, i - 1);
sum = internal::getRowPtr(sumBase, sumStride, i);
prev = v_zero;
j = 0u;
for ( ; j + 7 < size.width; j += 8)
{
internal::prefetch(sum + j);
internal::prefetch(src + j);
uint32x4_t vsuml = vld1q_u32(prevSum + j);
uint32x4_t vsumh = vld1q_u32(prevSum + j + 4);
uint8x8_t el8shr0 = vld1_u8(src + j);
uint8x8_t el8shr1 = vreinterpret_u8_u64(vshl_n_u64(vreinterpret_u64_u8(el8shr0), 8));
uint8x8_t el8shr2 = vreinterpret_u8_u64(vshl_n_u64(vreinterpret_u64_u8(el8shr0), 16));
uint8x8_t el8shr3 = vreinterpret_u8_u64(vshl_n_u64(vreinterpret_u64_u8(el8shr0), 24));
vsuml = vaddq_u32(vsuml, prev);
vsumh = vaddq_u32(vsumh, prev);
uint16x8_t el8shr12 = vaddl_u8(el8shr1, el8shr2);
uint16x8_t el8shr03 = vaddl_u8(el8shr0, el8shr3);
uint16x8_t el8 = vaddq_u16(el8shr12, el8shr03);
uint16x4_t el4h = vadd_u16(vget_low_u16(el8), vget_high_u16(el8));
vsuml = vaddw_u16(vsuml, vget_low_u16(el8));
vsumh = vaddw_u16(vsumh, el4h);
vst1q_u32(sum + j, vsuml);
vst1q_u32(sum + j + 4, vsumh);
prev = vaddw_u16(prev, vdup_lane_u16(el4h, 3));
}
for (u32 v = vgetq_lane_u32(prev, 3); j < size.width; ++j)
sum[j] = (v += src[j]) + prevSum[j];
}
#else
(void)size;
(void)srcBase;
(void)srcStride;
(void)sumBase;
(void)sumStride;
#endif
}
void sqrIntegral(const Size2D &size,
const u8 * srcBase, ptrdiff_t srcStride,
f64 * sqsumBase, ptrdiff_t sqsumStride)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
uint16x8_t v_zero8 = vmovq_n_u16(0u);
// the first iteration
const u8 * src = internal::getRowPtr(srcBase, srcStride, 0);
f64 * sqsum = internal::getRowPtr(sqsumBase, sqsumStride, 0);
double prev = 0.;
size_t j = 0u;
for ( ; j + 7 < size.width; j += 8)
{
internal::prefetch(sqsum + j);
internal::prefetch(src + j);
uint8x8_t vsrc = vld1_u8(src + j);
uint16x8_t el8shr0 = vmull_u8(vsrc, vsrc);
uint16x8_t el8shr1 = vextq_u16(v_zero8, el8shr0, 7);
uint32x4_t el8shr01l = vaddl_u16(vget_low_u16(el8shr0), vget_low_u16(el8shr1));
uint32x4_t el8shr01h = vaddl_u16(vget_high_u16(el8shr0), vget_high_u16(el8shr1));
uint32x4_t el4h = vaddq_u32(el8shr01l, el8shr01h);
uint32x2_t el2l = vadd_u32(vget_low_u32(el8shr01l), vget_high_u32(el8shr01l));
uint32x2_t el2hl = vadd_u32(vget_low_u32(el4h), vget_high_u32(el8shr01l));
uint32x2_t el2hh = vadd_u32(vget_low_u32(el4h), vget_high_u32(el4h));
u32 buf[8];
vst1_u32(buf, vget_low_u32(el8shr01l));
vst1_u32(buf+2, el2l);
vst1_u32(buf+4, el2hl);
vst1_u32(buf+6, el2hh);
for(u32 k=0; k < 8; k++)
sqsum[j+k] = prev + buf[k];
prev += buf[7];
}
for (; j < size.width; ++j)
sqsum[j] = (prev += src[j]*src[j]);
// the others
for (size_t i = 1; i < size.height ; ++i)
{
src = internal::getRowPtr(srcBase, srcStride, i);
f64 * prevSqSum = internal::getRowPtr(sqsumBase, sqsumStride, i - 1);
sqsum = internal::getRowPtr(sqsumBase, sqsumStride, i);
prev = 0.;
j = 0u;
for ( ; j + 7 < size.width; j += 8)
{
internal::prefetch(sqsum + j);
internal::prefetch(src + j);
uint8x8_t vsrc = vld1_u8(src + j);
uint16x8_t el8shr0 = vmull_u8(vsrc, vsrc);
uint16x8_t el8shr1 = vextq_u16(v_zero8, el8shr0, 7);
uint32x4_t el8shr01l = vaddl_u16(vget_low_u16(el8shr0), vget_low_u16(el8shr1));
uint32x4_t el8shr01h = vaddl_u16(vget_high_u16(el8shr0), vget_high_u16(el8shr1));
uint32x4_t el4h = vaddq_u32(el8shr01l, el8shr01h);
uint32x2_t el2l = vadd_u32(vget_low_u32(el8shr01l), vget_high_u32(el8shr01l));
uint32x2_t el2hl = vadd_u32(vget_low_u32(el4h), vget_high_u32(el8shr01l));
uint32x2_t el2hh = vadd_u32(vget_low_u32(el4h), vget_high_u32(el4h));
u32 buf[8];
vst1_u32(buf, vget_low_u32(el8shr01l));
vst1_u32(buf+2, el2l);
vst1_u32(buf+4, el2hl);
vst1_u32(buf+6, el2hh);
for(u32 k=0; k < 8; k++)
sqsum[j+k] = prev + prevSqSum[j+k] + buf[k];
prev += buf[7];
}
for (; j < size.width; ++j)
sqsum[j] = (prev += src[j]*src[j]) + prevSqSum[j];
}
#else
(void)size;
(void)srcBase;
(void)srcStride;
(void)sqsumBase;
(void)sqsumStride;
#endif
}
} // namespace CAROTENE_NS
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/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2014, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#ifndef CAROTENE_INTRINSICS_HPP
#define CAROTENE_INTRINSICS_HPP
#include <carotene/definitions.hpp>
#include <arm_neon.h>
namespace CAROTENE_NS { namespace internal {
/////////////// Custom NEON intrinsics ///////////////////
// calculate reciprocal value
inline float32x4_t vrecpq_f32(float32x4_t val)
{
float32x4_t reciprocal = vrecpeq_f32(val);
reciprocal = vmulq_f32(vrecpsq_f32(val, reciprocal), reciprocal);
reciprocal = vmulq_f32(vrecpsq_f32(val, reciprocal), reciprocal);
return reciprocal;
}
inline float32x2_t vrecp_f32(float32x2_t val)
{
float32x2_t reciprocal = vrecpe_f32(val);
reciprocal = vmul_f32(vrecps_f32(val, reciprocal), reciprocal);
reciprocal = vmul_f32(vrecps_f32(val, reciprocal), reciprocal);
return reciprocal;
}
// caclulate sqrt value
inline float32x4_t vrsqrtq_f32(float32x4_t val)
{
float32x4_t e = vrsqrteq_f32(val);
e = vmulq_f32(vrsqrtsq_f32(vmulq_f32(e, e), val), e);
e = vmulq_f32(vrsqrtsq_f32(vmulq_f32(e, e), val), e);
return e;
}
inline float32x2_t vrsqrt_f32(float32x2_t val)
{
float32x2_t e = vrsqrte_f32(val);
e = vmul_f32(vrsqrts_f32(vmul_f32(e, e), val), e);
e = vmul_f32(vrsqrts_f32(vmul_f32(e, e), val), e);
return e;
}
inline float32x4_t vsqrtq_f32(float32x4_t val)
{
return vrecpq_f32(vrsqrtq_f32(val));
}
inline float32x2_t vsqrt_f32(float32x2_t val)
{
return vrecp_f32(vrsqrt_f32(val));
}
// table lookup with the table in a 128-bit register
inline uint8x8_t vqtbl1_u8 (uint8x16_t a, uint8x8_t b)
{
#ifdef __aarch64__
// AArch64 supports this natively
return ::vqtbl1_u8(a, b);
#else
union { uint8x16_t v; uint8x8x2_t w; } u = { a };
return vtbl2_u8(u.w, b);
#endif
}
} }
#endif
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/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2015, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#include "common.hpp"
#include "saturate_cast.hpp"
#include <vector>
namespace CAROTENE_NS {
bool isLaplacian3x3Supported(const Size2D &size, BORDER_MODE border)
{
return isSupportedConfiguration() && size.width >= 8 &&
(border == BORDER_MODE_CONSTANT ||
border == BORDER_MODE_REPLICATE);
}
void Laplacian3x3(const Size2D &size,
const u8 * srcBase, ptrdiff_t srcStride,
u8 * dstBase, ptrdiff_t dstStride,
BORDER_MODE border, u8 borderValue)
{
internal::assertSupportedConfiguration(isLaplacian3x3Supported(size, border));
#ifdef CAROTENE_NEON
const uint16x8_t v_border_x3 = vdupq_n_u16(borderValue * 3);
const uint16x8_t v_zero = vdupq_n_u16(0);
const uint8x8_t v_border = vdup_n_u8(borderValue);
uint8x8_t vsub;
uint16x8_t tprev = v_zero, tcurr = v_zero, tnext = v_zero;
uint16x8_t t0 = v_zero, t1 = v_zero, t2 = v_zero;
ptrdiff_t width = (ptrdiff_t)size.width, height = (ptrdiff_t)size.height;
for (ptrdiff_t y = 0; y < height; ++y)
{
const u8 * srow0 = y == 0 && border == BORDER_MODE_CONSTANT ? NULL : internal::getRowPtr(srcBase, srcStride, std::max<ptrdiff_t>(y - 1, 0));
const u8 * srow1 = internal::getRowPtr(srcBase, srcStride, y);
const u8 * srow2 = y + 1 == height && border == BORDER_MODE_CONSTANT ? NULL : internal::getRowPtr(srcBase, srcStride, std::min(y + 1, height - 1));
u8 * drow = internal::getRowPtr(dstBase, dstStride, y);
s16 prevx = 0, currx = 0, nextx = 0;
ptrdiff_t x = 0;
const ptrdiff_t bwidth = y + 2 < height ? width : (width - 8);
// perform vertical convolution
for ( ; x <= bwidth; x += 8)
{
internal::prefetch(srow0 + x);
internal::prefetch(srow1 + x);
internal::prefetch(srow2 + x);
uint8x8_t x0 = !srow0 ? v_border : vld1_u8(srow0 + x);
uint8x8_t x1 = vld1_u8(srow1 + x);
uint8x8_t x2 = !srow2 ? v_border : vld1_u8(srow2 + x);
// calculate values for plain CPU part below if needed
if (x + 8 >= bwidth)
{
ptrdiff_t x3 = x == width ? width - 1 : x;
ptrdiff_t x4 = border == BORDER_MODE_CONSTANT ? x3 - 1 : std::max<ptrdiff_t>(x3 - 1, 0);
if (border == BORDER_MODE_CONSTANT && x4 < 0)
prevx = borderValue;
else
prevx = (srow2 ? srow2[x4] : borderValue) + srow1[x4] + (srow0 ? srow0[x4] : borderValue);
currx = (srow2 ? srow2[x3] : borderValue) + srow1[x3] + (srow0 ? srow0[x3] : borderValue);
}
// make shift
if (x)
{
tprev = tcurr;
tcurr = tnext;
}
// and calculate next value
tnext = vaddw_u8(vaddl_u8(x0, x1), x2);
// make extrapolation for the first elements
if (!x)
{
// make border
if (border == BORDER_MODE_CONSTANT)
tcurr = v_border_x3;
else if (border == BORDER_MODE_REPLICATE)
tcurr = vdupq_n_u16(vgetq_lane_u16(tnext, 0));
vsub = x1;
continue;
}
// combine 3 "shifted" vectors
t0 = vextq_u16(tprev, tcurr, 7);
t1 = tcurr;
t2 = vextq_u16(tcurr, tnext, 1);
// and add them
t0 = vqaddq_u16(t0, vqaddq_u16(t1, t2));
int16x8_t tt0 = vsubq_s16(vreinterpretq_s16_u16(t0),
vreinterpretq_s16_u16(vaddw_u8(vshll_n_u8(vsub, 3), vsub)));
uint8x8_t it0 = vqmovun_s16(tt0);
vst1_u8(drow + x - 8, it0);
vsub = x1;
}
x -= 8;
if (x == width)
--x;
for ( ; x < width; ++x)
{
// make extrapolation for the last elements
if (x + 1 >= width)
{
if (border == BORDER_MODE_CONSTANT)
nextx = borderValue * 3;
else if (border == BORDER_MODE_REPLICATE)
nextx = srow2[x] + srow1[x] + srow0[x];
}
else
{
nextx = (srow2 ? srow2[x + 1] : borderValue) +
srow1[x + 1] +
(srow0 ? srow0[x + 1] : borderValue);
}
s32 val = (prevx + currx + nextx) - 9 * srow1[x];
drow[x] = internal::saturate_cast<u8>((s32)val);
// make shift
prevx = currx;
currx = nextx;
}
}
#else
(void)size;
(void)srcBase;
(void)srcStride;
(void)dstBase;
(void)dstStride;
(void)border;
(void)borderValue;
#endif
}
bool isLaplacianOpenCVSupported(const Size2D &size, BORDER_MODE border)
{
return isSupportedConfiguration() &&
size.width >= 8 && size.height >= 1 &&
(border == BORDER_MODE_CONSTANT ||
border == BORDER_MODE_REFLECT ||
border == BORDER_MODE_REFLECT101 ||
border == BORDER_MODE_REPLICATE);
}
void Laplacian1OpenCV(const Size2D &size,
const u8 * srcBase, ptrdiff_t srcStride,
s16 * dstBase, ptrdiff_t dstStride,
BORDER_MODE border, u8 borderValue)
{
internal::assertSupportedConfiguration(isLaplacianOpenCVSupported(size, border));
#ifdef CAROTENE_NEON
ptrdiff_t rows = size.height, cols = size.width;
std::vector<u8> _tmp;
u8 *tmp = 0;
if (border == BORDER_MODE_CONSTANT)
{
_tmp.assign(cols + 4,borderValue);
tmp = &_tmp[2];
}
for( ptrdiff_t y = 0; y < rows; y++ )
{
const u8* v0 = 0;
const u8* v1 = internal::getRowPtr(srcBase, srcStride, y);
const u8* v2 = 0;
// make border
if (border == BORDER_MODE_REFLECT101) {
v0 = internal::getRowPtr(srcBase, srcStride, y > 0 ? y-1 : y+1);
v2 = internal::getRowPtr(srcBase, srcStride, y < rows-1 ? y+1 : rows > 1 ? rows-2 : 0);
} else if (border == BORDER_MODE_CONSTANT) {
v0 = y > 0 ? internal::getRowPtr(srcBase, srcStride, y-1) : tmp;
v2 = y < rows-1 ? internal::getRowPtr(srcBase, srcStride, y+1) : tmp;
} else {
v0 = internal::getRowPtr(srcBase, srcStride, y > 0 ? y-1 : 0);
v2 = internal::getRowPtr(srcBase, srcStride, y < rows-1 ? y+1 : rows > 0 ? rows-1 : 0);
}
s16* drow = internal::getRowPtr(dstBase, dstStride, y);
int16x8_t tcurr = vmovq_n_s16(0x0);
int16x8_t tnext = vmovq_n_s16(0x0);
int16x8_t t0, t2;
uint8x8_t xx0 = vmov_n_u8(0x0);
uint8x8_t xx1 = vmov_n_u8(0x0);
uint8x8_t xx2 = vmov_n_u8(0x0);
ptrdiff_t x = 0;
const ptrdiff_t bcols = y + 2 < rows ? cols : (cols - 8);
for( ; x <= bcols; x += 8 )
{
internal::prefetch(v0 + x);
internal::prefetch(v1 + x);
internal::prefetch(v2 + x);
uint8x8_t x0 = vld1_u8(v0 + x);
uint8x8_t x1 = vld1_u8(v1 + x);
uint8x8_t x2 = vld1_u8(v2 + x);
if(x) {
xx0 = xx1;
xx1 = xx2;
} else {
xx1 = x1;
// make border
if (border == BORDER_MODE_REPLICATE || border == BORDER_MODE_REFLECT)
{
xx1 = vset_lane_u8(vget_lane_u8(x1, 0),x1, 7);
}
else if (border == BORDER_MODE_CONSTANT)
{
xx1 = vset_lane_u8(borderValue, x1, 7);
}
else if (border == BORDER_MODE_REFLECT101)
{
xx1 = vset_lane_u8(vget_lane_u8(x1, 1),x1, 7);
}
}
xx2 = x1;
if(x) {
tcurr = tnext;
}
tnext = vsubq_s16(vreinterpretq_s16_u16(vaddl_u8(x0, x2)),
vreinterpretq_s16_u16(vshll_n_u8(x1, 2)));
if(!x) {
tcurr = tnext;
continue;
}
t0 = vreinterpretq_s16_u16(vmovl_u8(vext_u8(xx0, xx1, 7)));
t2 = vreinterpretq_s16_u16(vmovl_u8(vext_u8(xx1, xx2, 1)));
t0 = vaddq_s16(vqaddq_s16(t0, t2), tcurr);
vst1q_s16(drow + x - 8, t0);
}
x -= 8;
if(x == cols){
x--;
}
for( ; x < cols; x++ )
{
s16 nextx;
s16 prevx;
// make border
if (border == BORDER_MODE_REPLICATE || border == BORDER_MODE_REFLECT)
{
prevx = x == 0 ? v1[0] : v1[x-1];
nextx = x == cols-1 ? v1[x] : v1[x+1];
}
else if (border == BORDER_MODE_REFLECT101)
{
prevx = x == 0 ? v1[1] : v1[x-1];
nextx = x == cols-1 ? v1[x-1] : v1[x+1];
}
else //if (border == BORDER_MODE_CONSTANT)
{
prevx = x == 0 ? borderValue : v1[x-1];
nextx = x == cols-1 ? borderValue : v1[x+1];
}
*(drow+x) = prevx + nextx - 4*v1[x] + v0[x] + v2[x];
}
}
#else
(void)size;
(void)srcBase;
(void)srcStride;
(void)dstBase;
(void)dstStride;
(void)border;
(void)borderValue;
#endif
}
void Laplacian3OpenCV(const Size2D &size,
const u8 * srcBase, ptrdiff_t srcStride,
s16 * dstBase, ptrdiff_t dstStride,
BORDER_MODE border, u8 borderValue)
{
internal::assertSupportedConfiguration(isLaplacianOpenCVSupported(size, border));
#ifdef CAROTENE_NEON
ptrdiff_t rows = size.height, cols = size.width;
std::vector<u8> _tmp;
u8 *tmp = 0;
if (border == BORDER_MODE_CONSTANT)
{
_tmp.assign(cols + 4,borderValue);
tmp = &_tmp[2];
}
for( ptrdiff_t y = 0; y < rows; y++ )
{
const u8* v0 = 0;
const u8* v1 = internal::getRowPtr(srcBase, srcStride, y);
const u8* v2 = 0;
// make border
if (border == BORDER_MODE_REFLECT101) {
v0 = internal::getRowPtr(srcBase, srcStride, y > 0 ? y-1 : y+1);
v2 = internal::getRowPtr(srcBase, srcStride, y < rows-1 ? y+1 : rows > 1 ? rows-2 : 0);
} else if (border == BORDER_MODE_CONSTANT) {
v0 = y > 0 ? internal::getRowPtr(srcBase, srcStride, y-1) : tmp;
v2 = y < rows-1 ? internal::getRowPtr(srcBase, srcStride, y+1) : tmp;
} else {
v0 = internal::getRowPtr(srcBase, srcStride, y > 0 ? y-1 : 0);
v2 = internal::getRowPtr(srcBase, srcStride, y < rows-1 ? y+1 : rows > 0 ? rows-1 : 0);
}
s16* drow = internal::getRowPtr(dstBase, dstStride, y);
int16x8_t tprev = vmovq_n_s16(0x0);
int16x8_t tcurr = vmovq_n_s16(0x0);
int16x8_t tnext = vmovq_n_s16(0x0);
int16x8_t tc = vmovq_n_s16(0x0);
int16x8_t t0, t2, tcnext;
ptrdiff_t x = 0;
const ptrdiff_t bcols = y + 2 < rows ? cols : (cols - 8);
for( ; x <= bcols; x += 8 )
{
internal::prefetch(v0 + x);
internal::prefetch(v1 + x);
internal::prefetch(v2 + x);
uint8x8_t x0 = vld1_u8(v0 + x);
uint8x8_t x1 = vld1_u8(v1 + x);
uint8x8_t x2 = vld1_u8(v2 + x);
tcnext = vreinterpretq_s16_u16(vshll_n_u8(x1, 2));
if(x) {
tprev = tcurr;
tcurr = tnext;
}
tnext = vreinterpretq_s16_u16(vaddl_u8(x0, x2));
if(!x) {
tcurr = tnext;
tc = tcnext;
// make border
if (border == BORDER_MODE_REPLICATE || border == BORDER_MODE_REFLECT)
{
tcurr = vsetq_lane_s16(vgetq_lane_s16(tcurr, 0),tcurr, 7);
}
else if (border == BORDER_MODE_CONSTANT)
{
tcurr = vsetq_lane_s16(borderValue, tcurr, 7);
}
else if (border == BORDER_MODE_REFLECT101)
{
tcurr = vsetq_lane_s16(vgetq_lane_s16(tcurr, 1),tcurr, 7);
}
continue;
}
t0 = vextq_s16(tprev, tcurr, 7);
t2 = vextq_s16(tcurr, tnext, 1);
t0 = vsubq_s16(vqaddq_s16(t0, t2), tc);
tc = tcnext;
t0 = vshlq_n_s16(t0, 1);
vst1q_s16(drow + x - 8, t0);
}
x -= 8;
if(x == cols){
x--;
}
for( ; x < cols; x++ )
{
s16 nextx, nextx2;
s16 prevx, prevx2;
// make border
if (border == BORDER_MODE_REPLICATE || border == BORDER_MODE_REFLECT)
{
prevx = x == 0 ? v0[0] : v0[x-1];
prevx2 = x == 0 ? v2[0] : v2[x-1];
nextx = x == cols-1 ? v0[x] : v0[x+1];
nextx2 = x == cols-1 ? v2[x] : v2[x+1];
}
else if (border == BORDER_MODE_REFLECT101)
{
prevx = x == 0 ? v0[1] : v0[x-1];
prevx2 = x == 0 ? v2[1] : v2[x-1];
nextx = x == cols-1 ? v0[x-1] : v0[x+1];
nextx2 = x == cols-1 ? v2[x-1] : v2[x+1];
}
else //if (border == BORDER_MODE_CONSTANT)
{
prevx = x == 0 ? borderValue : v0[x-1];
prevx2 = x == 0 ? borderValue : v2[x-1];
nextx = x == cols-1 ? borderValue : v0[x+1];
nextx2 = x == cols-1 ? borderValue : v2[x+1];
}
s16 res = prevx + nextx - 4*v1[x] + prevx2 + nextx2;
*(drow+x) = 2*res;
}
}
#else
(void)size;
(void)srcBase;
(void)srcStride;
(void)dstBase;
(void)dstStride;
(void)border;
(void)borderValue;
#endif
}
void Laplacian5OpenCV(const Size2D &size,
const u8 * srcBase, ptrdiff_t srcStride,
s16 * dstBase, ptrdiff_t dstStride,
BORDER_MODE border, u8 borderValue)
{
internal::assertSupportedConfiguration(isLaplacianOpenCVSupported(size, border));
#ifdef CAROTENE_NEON
ptrdiff_t rows = size.height, cols = size.width;
std::vector<u8> _tmp;
u8 *tmp = 0;
if (border == BORDER_MODE_CONSTANT)
{
_tmp.assign(cols + 4,borderValue);
tmp = &_tmp[2];
}
for( ptrdiff_t y = 0; y < rows; y++ )
{
const u8* v0 = 0;
const u8* v1 = 0;
const u8* v2 = internal::getRowPtr(srcBase, srcStride, y);
const u8* v3 = 0;
const u8* v4 = 0;
// make border
if (border == BORDER_MODE_REPLICATE) {
v0 = internal::getRowPtr(srcBase, srcStride, y > 1 ? y-2 : 0);
v1 = internal::getRowPtr(srcBase, srcStride, y > 0 ? y-1 : 0);
v3 = internal::getRowPtr(srcBase, srcStride, y < rows-1 ? y+1 : rows > 0 ? rows-1 : 0);
v4 = internal::getRowPtr(srcBase, srcStride, y < rows-2 ? y+2 : rows > 0 ? rows-1 : 0);
} else if (border == BORDER_MODE_REFLECT) {
v0 = internal::getRowPtr(srcBase, srcStride, y > 1 ? y-2 : rows > 1 ? 1-y : 0);
v1 = internal::getRowPtr(srcBase, srcStride, y > 0 ? y-1 : 0);
v3 = internal::getRowPtr(srcBase, srcStride, y < rows-1 ? y+1 : rows > 0 ? rows-1 : 0);
v4 = internal::getRowPtr(srcBase, srcStride, y < rows-2 ? y+2 : rows > 1 ? 2*rows-(y+3) : 0);
} else if (border == BORDER_MODE_REFLECT101) {
v0 = internal::getRowPtr(srcBase, srcStride, y > 1 ? y-2 : rows > 2-y ? 2-y : 0); ///check
v1 = internal::getRowPtr(srcBase, srcStride, y > 0 ? y-1 : rows > 1 ? 1 : 0);
v3 = internal::getRowPtr(srcBase, srcStride, y < rows-1 ? y+1 : rows > 1 ? rows-2 : 0);
v4 = internal::getRowPtr(srcBase, srcStride, y < rows-2 ? y+2 : rows > 2 ? 2*rows-(y+4) : 0);///bad if rows=2 y=1 rows - 4 + (2,1)
} else if (border == BORDER_MODE_CONSTANT) {
v0 = y > 1 ? internal::getRowPtr(srcBase, srcStride, y-2) : tmp;
v1 = y > 0 ? internal::getRowPtr(srcBase, srcStride, y-1) : tmp;
v3 = y < rows-1 ? internal::getRowPtr(srcBase, srcStride, y+1) : tmp;
v4 = y < rows-2 ? internal::getRowPtr(srcBase, srcStride, y+2) : tmp;
}
s16* drow = internal::getRowPtr(dstBase, dstStride, y);
int16x8_t tnext, tc, t0;
int16x8_t tnext2, tnext3;
int16x8_t tnext1Old, tnext2Old, tnext3Old;
int16x8_t tnext4OldOldOld, tnext5OldOldOld;
int16x8_t tcurr1 = vmovq_n_s16(0x0);
int16x8_t tnext1 = vmovq_n_s16(0x0);
int16x8_t tprev1 = vmovq_n_s16(0x0);
int16x8_t tpprev1 = vmovq_n_s16(0x0);
int16x8_t tppprev1 = vmovq_n_s16(0x0);
int16x8_t tnext4Old = vmovq_n_s16(0x0);
int16x8_t tnext5Old = vmovq_n_s16(0x0);
int16x8_t tnext1OldOld = vmovq_n_s16(0x0);
int16x8_t tnext2OldOld = vmovq_n_s16(0x0);
int16x8_t tnext3OldOld = vmovq_n_s16(0x0);
int16x8_t tnext4OldOld = vmovq_n_s16(0x0);
int16x8_t tnext5OldOld = vmovq_n_s16(0x0);
// do vertical convolution
ptrdiff_t x = 0;
const ptrdiff_t bcols = y + 3 < rows ? cols : (cols - 8);
for( ; x <= bcols; x += 8 )
{
internal::prefetch(v0 + x);
internal::prefetch(v1 + x);
internal::prefetch(v2 + x);
internal::prefetch(v3 + x);
internal::prefetch(v4 + x);
uint8x8_t x0 = vld1_u8(v0 + x);
uint8x8_t x1 = vld1_u8(v1 + x);
uint8x8_t x2 = vld1_u8(v2 + x);
uint8x8_t x3 = vld1_u8(v3 + x);
uint8x8_t x4 = vld1_u8(v4 + x);
if(x) {
tcurr1 = tnext1;
}
tnext4OldOldOld = tnext4Old;
tnext5OldOldOld = tnext5Old;
tnext1Old = tnext1OldOld;
tnext2Old = tnext2OldOld;
tnext3Old = tnext3OldOld;
tnext4Old = tnext4OldOld;
tnext5Old = tnext5OldOld;
tnext3 = vreinterpretq_s16_u16(vaddq_u16(vaddl_u8(x3, x2),vaddl_u8(x2, x1)));
tnext3 = vshlq_n_s16(tnext3, 1);
tc = vreinterpretq_s16_u16(vsubl_u8(x4, x2));
tnext = vreinterpretq_s16_u16(vsubl_u8(x2, x0));
tnext2 = vsubq_s16(tc, tnext);
tnext1 = vaddq_s16(tnext3, tnext2);
// tnext1 = x0 + 2*x1 + 2*x2 + 2*x3 + x4
tnext2 = vshlq_n_s16(tnext2, 1);
// tnext2 = 2*x4 - 4*x2 + 2*x0
tnext3 = vsubq_s16(tnext2, vshlq_n_s16(tnext3, 1));
// tnext3 = 2*x0 - 4*x1 - 12*x2 - 4*x3 + 2*x4
tnext1OldOld = tnext1;
tnext2OldOld = tnext2;
tnext3OldOld = tnext3;
tnext4OldOld = tnext2;
tnext5OldOld = tnext1;
if(x) {
tnext1 = vextq_s16(tnext1Old, tnext1, 2);
tcurr1 = vextq_s16(tnext2Old, tnext2, 1);
tprev1 = tnext3Old;
if(x!=8) {
tpprev1 = vextq_s16(tnext4OldOldOld, tnext4Old, 7);
tppprev1 = vextq_s16(tnext5OldOldOld, tnext5Old, 6);
}
}
if(!x) {
// make border
if (border == BORDER_MODE_REPLICATE) {
tpprev1 = vextq_s16(tnext2, tnext2, 7);
tpprev1 = vsetq_lane_s16(vgetq_lane_s16(tpprev1, 1),tpprev1, 0);
tprev1 = vextq_s16(tnext1, tnext1, 6);
tprev1 = vsetq_lane_s16(vgetq_lane_s16(tprev1, 2),tprev1, 0);
tprev1 = vsetq_lane_s16(vgetq_lane_s16(tprev1, 2),tprev1, 1);
} else if (border == BORDER_MODE_REFLECT) {
tpprev1 = vextq_s16(tnext2, tnext2, 7);
tpprev1 = vsetq_lane_s16(vgetq_lane_s16(tpprev1, 1),tpprev1, 0);
tprev1 = vextq_s16(tnext1, tnext1, 6);
tprev1 = vsetq_lane_s16(vgetq_lane_s16(tprev1, 3),tprev1, 0);
tprev1 = vsetq_lane_s16(vgetq_lane_s16(tprev1, 2),tprev1, 1);
} else if (border == BORDER_MODE_REFLECT101) {
tpprev1 = vextq_s16(tnext2, tnext2, 7);
tpprev1 = vsetq_lane_s16(vgetq_lane_s16(tpprev1, 2),tpprev1, 0);
tprev1 = vextq_s16(tnext1, tnext1, 6);
tprev1 = vsetq_lane_s16(vgetq_lane_s16(tprev1, 3),tprev1, 1);
tprev1 = vsetq_lane_s16(vgetq_lane_s16(tprev1, 4),tprev1, 0);
} else if (border == BORDER_MODE_CONSTANT) {
tpprev1 = vextq_s16(tnext2, tnext2, 7);
tpprev1 = vsetq_lane_s16(borderValue, tpprev1, 0);
tprev1 = vextq_s16(tnext1, tnext1, 6);
tprev1 = vsetq_lane_s16(borderValue, tprev1, 0);
tprev1 = vsetq_lane_s16(borderValue, tprev1, 1);
}
tppprev1 = tprev1;
continue;
}
t0 = vaddq_s16(vaddq_s16(vqaddq_s16(tcurr1, tprev1), vqaddq_s16(tpprev1, tppprev1)), tnext1);
t0 = vaddq_s16(t0, t0);
vst1q_s16(drow + x - 8, t0);
}
x -= 8;
if(x >= cols - 1)
x = cols-2;
s16 pprevx = 0;
s16 prevx = 0;
s16 nextx = 0;
s16 nnextx = 0;
for( ; x < cols; x++ )
{
if (x == 0) {
// make border
if (border == BORDER_MODE_REPLICATE) {
pprevx = v0[0] + 2*v1[0] + 2*v2[0] + 2*v3[0] + v4[0];
prevx = 2*v0[0] - 4*v2[0] + 2*v4[0];
} else if (border == BORDER_MODE_REFLECT) {
pprevx = v0[1] + 2*v1[1] + 2*v2[1] + 2*v3[1] + v4[1];
prevx = 2*v0[0] - 4*v2[0] + 2*v4[0];
} else if (border == BORDER_MODE_REFLECT101) {
pprevx = v0[2] + 2*v1[2] + 2*v2[2] + 2*v3[2] + v4[2];
prevx = 2*v0[1] - 4*v2[1] + 2*v4[1];
} else if (border == BORDER_MODE_CONSTANT) {
pprevx = 8 * borderValue;
prevx = 0;
}
} else if (x == 1) {
// make border
if (border == BORDER_MODE_REPLICATE || border == BORDER_MODE_REFLECT) {
pprevx = v0[0] + 2*v1[0] + 2*v2[0] + 2*v3[0] + v4[0];
} else if (border == BORDER_MODE_REFLECT101) {
pprevx = v0[1] + 2*v1[1] + 2*v2[1] + 2*v3[1] + v4[1];
} else if (border == BORDER_MODE_CONSTANT) {
pprevx = 8 * borderValue;
}
prevx = 2*v0[0] - 4*v2[0] + 2*v4[0];
} else {
pprevx = v0[x-2] + 2*v1[x-2] + 2*v2[x-2] + 2*v3[x-2] + v4[x-2];
prevx = 2*v0[x-1] - 4*v2[x-1] + 2*v4[x-1];
}
s16 currx = 2*v0[x] - 4*v1[x] - 12*v2[x] - 4*v3[x] + 2*v4[x];
if (x == cols-1) {
// make border
if (border == BORDER_MODE_REPLICATE) {
nextx = 2*v0[x] - 4*v2[x] + 2*v4[x];
nnextx = v0[x] + 2*v1[x] + 2*v2[x] + 2*v3[x] + v4[x];
} else if (border == BORDER_MODE_REFLECT) {
nextx = 2*v0[x] - 4*v2[x] + 2*v4[x];
nnextx = v0[x-1] + 2*v1[x-1] + 2*v2[x-1] + 2*v3[x-1] + v4[x-1];
} else if (border == BORDER_MODE_REFLECT101) {
nextx = 2*v0[x-1] - 4*v2[x-1] + 2*v4[x-1];
nnextx = v0[x-2] + 2*v1[x-2] + 2*v2[x-2] + 2*v3[x-2] + v4[x-2];
} else if (border == BORDER_MODE_CONSTANT) {
nextx = 0;
nnextx = 8 * borderValue;
}
} else if (x == cols-2) {
// make border
if (border == BORDER_MODE_REPLICATE || border == BORDER_MODE_REFLECT) {
nnextx = v0[x+1] + 2*v1[x+1] + 2*v2[x+1] + 2*v3[x+1] + v4[x+1];
} else if (border == BORDER_MODE_REFLECT101) {
nnextx = v0[x] + 2*v1[x] + 2*v2[x] + 2*v3[x] + v4[x];
} else if (border == BORDER_MODE_CONSTANT) {
nnextx = 8 * borderValue;
}
nextx = 2*v0[x+1] - 4*v2[x+1] + 2*v4[x+1];
} else {
nextx = 2*v0[x+1] - 4*v2[x+1] + 2*v4[x+1];
nnextx = v0[x+2] + 2*v1[x+2] + 2*v2[x+2] + 2*v3[x+2] + v4[x+2];
}
s16 res = pprevx + prevx + currx + nextx + nnextx;
*(drow+x) = 2*res;
}
}
#else
(void)size;
(void)srcBase;
(void)srcStride;
(void)dstBase;
(void)dstStride;
(void)border;
(void)borderValue;
#endif
}
} // namespace CAROTENE_NS
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/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2014, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#include "common.hpp"
#include "vtransform.hpp"
#include <cmath>
namespace CAROTENE_NS {
#ifdef CAROTENE_NEON
namespace {
struct Magnitude
{
typedef s16 type;
void operator() (const int16x8_t & v_src0, const int16x8_t & v_src1,
int16x8_t & v_dst) const
{
int16x4_t v_src0_p = vget_low_s16(v_src0), v_src1_p = vget_low_s16(v_src1);
float32x4_t v_sqr0 = vaddq_f32(vcvtq_f32_s32(vmull_s16(v_src0_p, v_src0_p)),
vcvtq_f32_s32(vmull_s16(v_src1_p, v_src1_p)));
v_src0_p = vget_high_s16(v_src0);
v_src1_p = vget_high_s16(v_src1);
float32x4_t v_sqr1 = vaddq_f32(vcvtq_f32_s32(vmull_s16(v_src0_p, v_src0_p)),
vcvtq_f32_s32(vmull_s16(v_src1_p, v_src1_p)));
int32x4_t v_sqrt0 = vcvtq_s32_f32(internal::vsqrtq_f32(v_sqr0));
int32x4_t v_sqrt1 = vcvtq_s32_f32(internal::vsqrtq_f32(v_sqr1));
v_dst = vcombine_s16(vqmovn_s32(v_sqrt0), vqmovn_s32(v_sqrt1));
}
void operator() (const int16x4_t & v_src0, const int16x4_t & v_src1,
int16x4_t & v_dst) const
{
float32x4_t v_tmp = vaddq_f32(vcvtq_f32_s32(vmull_s16(v_src0, v_src0)),
vcvtq_f32_s32(vmull_s16(v_src1, v_src1)));
int32x4_t v_sqrt = vcvtq_s32_f32(internal::vsqrtq_f32(v_tmp));
v_dst = vqmovn_s32(v_sqrt);
}
void operator() (const short * src0, const short * src1, short * dst) const
{
f32 src0val = (f32)src0[0], src1val = (f32)src1[0];
dst[0] = internal::saturate_cast<s16>((s32)sqrtf(src0val * src0val + src1val * src1val));
}
};
struct MagnitudeF32
{
typedef f32 type;
void operator() (const float32x4_t & v_src0, const float32x4_t & v_src1,
float32x4_t & v_dst) const
{
v_dst = internal::vsqrtq_f32(vaddq_f32(vmulq_f32(v_src0, v_src0), vmulq_f32(v_src1, v_src1)));
}
void operator() (const float32x2_t & v_src0, const float32x2_t & v_src1,
float32x2_t & v_dst) const
{
v_dst = internal::vsqrt_f32(vadd_f32(vmul_f32(v_src0, v_src0), vmul_f32(v_src1, v_src1)));
}
void operator() (const f32 * src0, const f32 * src1, f32 * dst) const
{
dst[0] = sqrtf(src0[0] * src0[0] + src1[0] * src1[0]);
}
};
} // namespace
#endif
void magnitude(const Size2D &size,
const s16 * src0Base, ptrdiff_t src0Stride,
const s16 * src1Base, ptrdiff_t src1Stride,
s16 * dstBase, ptrdiff_t dstStride)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
internal::vtransform(size,
src0Base, src0Stride,
src1Base, src1Stride,
dstBase, dstStride,
Magnitude());
#else
(void)size;
(void)src0Base;
(void)src0Stride;
(void)src1Base;
(void)src1Stride;
(void)dstBase;
(void)dstStride;
#endif
}
void magnitude(const Size2D &size,
const f32 * src0Base, ptrdiff_t src0Stride,
const f32 * src1Base, ptrdiff_t src1Stride,
f32 * dstBase, ptrdiff_t dstStride)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
internal::vtransform(size,
src0Base, src0Stride,
src1Base, src1Stride,
dstBase, dstStride,
MagnitudeF32());
#else
(void)size;
(void)src0Base;
(void)src0Stride;
(void)src1Base;
(void)src1Stride;
(void)dstBase;
(void)dstStride;
#endif
}
} // namespace CAROTENE_NS
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/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2014, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#include "common.hpp"
#include <cmath>
namespace CAROTENE_NS {
void meanStdDev(const Size2D &size,
const u8 * srcBase, ptrdiff_t srcStride,
f32 * pMean, f32 * pStdDev)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
f64 fsum = 0.0f, fsqsum = 0.0f;
sqsum(size, srcBase, srcStride, &fsum, &fsqsum, 1);
// calc mean and stddev
f64 itotal = 1.0 / size.total();
f64 mean = fsum * itotal;
f64 stddev = sqrt(std::max(fsqsum * itotal - mean * mean, 0.0));
if (pMean)
*pMean = mean;
if (pStdDev)
*pStdDev = stddev;
#else
(void)size;
(void)srcBase;
(void)srcStride;
(void)pMean;
(void)pStdDev;
#endif
}
void meanStdDev(const Size2D &size,
const u16 * srcBase, ptrdiff_t srcStride,
f32 * pMean, f32 * pStdDev)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
size_t blockSize0 = 1 << 10, roiw4 = size.width & ~3;
f64 fsum = 0.0f, fsqsum = 0.0f;
f32 arsum[8];
uint32x4_t v_zero = vdupq_n_u32(0u), v_sum;
float32x4_t v_zero_f = vdupq_n_f32(0.0f), v_sqsum;
for (size_t i = 0; i < size.height; ++i)
{
const u16 * src = internal::getRowPtr(srcBase, srcStride, i);
size_t j = 0u;
while (j < roiw4)
{
size_t blockSize = std::min(roiw4 - j, blockSize0) + j;
v_sum = v_zero;
v_sqsum = v_zero_f;
for ( ; j + 16 < blockSize ; j += 16)
{
internal::prefetch(src + j);
uint16x8_t v_src0 = vld1q_u16(src + j), v_src1 = vld1q_u16(src + j + 8);
// 0
uint32x4_t v_srclo = vmovl_u16(vget_low_u16(v_src0));
uint32x4_t v_srchi = vmovl_u16(vget_high_u16(v_src0));
v_sum = vaddq_u32(v_sum, vaddq_u32(v_srclo, v_srchi));
float32x4_t v_srclo_f = vcvtq_f32_u32(v_srclo);
float32x4_t v_srchi_f = vcvtq_f32_u32(v_srchi);
v_sqsum = vmlaq_f32(v_sqsum, v_srclo_f, v_srclo_f);
v_sqsum = vmlaq_f32(v_sqsum, v_srchi_f, v_srchi_f);
// 1
v_srclo = vmovl_u16(vget_low_u16(v_src1));
v_srchi = vmovl_u16(vget_high_u16(v_src1));
v_sum = vaddq_u32(v_sum, vaddq_u32(v_srclo, v_srchi));
v_srclo_f = vcvtq_f32_u32(v_srclo);
v_srchi_f = vcvtq_f32_u32(v_srchi);
v_sqsum = vmlaq_f32(v_sqsum, v_srclo_f, v_srclo_f);
v_sqsum = vmlaq_f32(v_sqsum, v_srchi_f, v_srchi_f);
}
for ( ; j < blockSize; j += 4)
{
uint32x4_t v_src = vmovl_u16(vld1_u16(src + j));
float32x4_t v_src_f = vcvtq_f32_u32(v_src);
v_sum = vaddq_u32(v_sum, v_src);
v_sqsum = vmlaq_f32(v_sqsum, v_src_f, v_src_f);
}
vst1q_f32(arsum, vcvtq_f32_u32(v_sum));
vst1q_f32(arsum + 4, v_sqsum);
fsum += (f64)arsum[0] + arsum[1] + arsum[2] + arsum[3];
fsqsum += (f64)arsum[4] + arsum[5] + arsum[6] + arsum[7];
}
// collect a few last elements in the current row
for ( ; j < size.width; ++j)
{
f32 srcval = src[j];
fsum += srcval;
fsqsum += srcval * srcval;
}
}
// calc mean and stddev
f64 itotal = 1.0 / size.total();
f64 mean = fsum * itotal;
f64 stddev = sqrt(std::max(fsqsum * itotal - mean * mean, 0.0));
if (pMean)
*pMean = mean;
if (pStdDev)
*pStdDev = stddev;
#else
(void)size;
(void)srcBase;
(void)srcStride;
(void)pMean;
(void)pStdDev;
#endif
}
} // namespace CAROTENE_NS
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/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2012-2014, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#include "common.hpp"
/*
* The code here is based on the code in
* <http://ndevilla.free.fr/median/median/src/optmed.c>, which is in public domain.
* See also <http://ndevilla.free.fr/median/median/index.html>.
*/
namespace CAROTENE_NS {
#ifdef CAROTENE_NEON
namespace {
uint8x16_t getLeftReplicate(uint8x16_t r, u32 cn)
{
u8 buf[16+8];
vst1q_u8(buf+cn, r);
for (u32 i = 0; i < cn; ++i) buf[i] = buf[cn+i];
return vld1q_u8(buf);
}
uint8x8_t getRightReplicate(uint8x8_t r, u32 cn)
{
u8 buf[8+8];
vst1_u8(buf, r);
for (u32 i = 0; i < cn; ++i) buf[8+i] = buf[8-cn+i];
return vld1_u8(buf+cn);
}
} // namespace
//o------^-------^-----------------------------o 0
// | |
//o--^---v---^---|-------^---------------------o 1
// | | | |
//o--v-------v---|-------|-^-------^-------^---o 2
// | | | | |
//o------^-------v-----^-|-|-------|-------|---o 3
// | | | | | |
//o--^---v---^-----^---|-v-|---^---v---^---v---o 4
// | | | | | | |
//o--v-------v---^-|---|---v---|-------|-------o 5
// | | | | |
//o------^-------|-|---v-------|-------v-------o 6
// | | | |
//o--^---v---^---|-v-----------v---------------o 7
// | | |
//o--v-------v---v-----------------------------o 8
#define ELT(num, level) v ## num ## _lv ## level
#define PIX_SORT(a, alvl, b, blvl, newlvl) \
PIX_MIN(a, alvl, b, blvl, newlvl); \
PIX_MAX(a, alvl, b, blvl, newlvl);
#define SORT9 \
PIX_SORT(1, 00, 2, 00, 01); \
PIX_SORT(4, 00, 5, 00, 02); \
PIX_SORT(7, 00, 8, 00, 03); \
PIX_SORT(0, 00, 1, 01, 04); \
PIX_SORT(3, 00, 4, 02, 05); \
PIX_SORT(6, 00, 7, 03, 06); \
PIX_SORT(1, 04, 2, 01, 07); \
PIX_SORT(4, 05, 5, 02, 08); \
PIX_SORT(7, 06, 8, 03, 09); \
PIX_MAX (0, 04, 3, 05, 10); \
PIX_MIN (5, 08, 8, 09, 11); \
PIX_SORT(4, 08, 7, 09, 12); \
PIX_MAX (3, 10, 6, 06, 13); \
PIX_MAX (1, 07, 4, 12, 14); \
PIX_MIN (2, 07, 5, 11, 15); \
PIX_MIN (4, 14, 7, 12, 16); \
PIX_SORT(4, 16, 2, 15, 17); \
PIX_MAX (6, 13, 4, 17, 18); \
PIX_MIN (4, 18, 2, 17, 19);
#endif
bool isMedianFilter3x3Supported(const Size2D &size, u32 numChannels)
{
return isSupportedConfiguration() && size.width >= 16 + numChannels && numChannels <= 8;
}
void medianFilter3x3(const Size2D &size, u32 numChannels,
const u8 *srcBase, ptrdiff_t srcStride,
const Margin &srcMargin,
u8 *dstBase, ptrdiff_t dstStride)
{
internal::assertSupportedConfiguration(isMedianFilter3x3Supported(size, numChannels));
#ifdef CAROTENE_NEON
u32 cn = numChannels;
size_t colsn = size.width * cn;
for (size_t i = 0; i < size.height; ++i) {
const u8* psrc1 = internal::getRowPtr(srcBase, srcStride, i);
const u8* psrc0 = i == 0 && srcMargin.top == 0 ? psrc1 : psrc1 - srcStride;
const u8* psrc2 = i + 1 == size.height && srcMargin.bottom == 0 ? psrc1 : psrc1 + srcStride;
u8* pdst = internal::getRowPtr(dstBase, dstStride, i);
size_t j = 0;
{
uint8x16_t v3_lv00 = vld1q_u8(psrc0);
uint8x16_t v4_lv00 = vld1q_u8(psrc1);
uint8x16_t v5_lv00 = vld1q_u8(psrc2);
uint8x16_t v6_lv00 = vld1q_u8(psrc0 + cn);
uint8x16_t v7_lv00 = vld1q_u8(psrc1 + cn);
uint8x16_t v8_lv00 = vld1q_u8(psrc2 + cn);
uint8x16_t v0_lv00 = srcMargin.left > 0 ? vld1q_u8(psrc0 - cn) : getLeftReplicate(v3_lv00, cn);
uint8x16_t v1_lv00 = srcMargin.left > 0 ? vld1q_u8(psrc1 - cn) : getLeftReplicate(v4_lv00, cn);
uint8x16_t v2_lv00 = srcMargin.left > 0 ? vld1q_u8(psrc2 - cn) : getLeftReplicate(v5_lv00, cn);
goto medianBlur3x3_mainBody;
for (; j < colsn - 16; j += 16) {
internal::prefetch(psrc0 + j);
internal::prefetch(psrc1 + j);
internal::prefetch(psrc2 + j);
v0_lv00 = vld1q_u8(psrc0 + j - cn);
v1_lv00 = vld1q_u8(psrc1 + j - cn);
v2_lv00 = vld1q_u8(psrc2 + j - cn);
v3_lv00 = vld1q_u8(psrc0 + j);
v4_lv00 = vld1q_u8(psrc1 + j);
v5_lv00 = vld1q_u8(psrc2 + j);
v6_lv00 = vld1q_u8(psrc0 + j + cn);
v7_lv00 = vld1q_u8(psrc1 + j + cn);
v8_lv00 = vld1q_u8(psrc2 + j + cn);
medianBlur3x3_mainBody:
#define PIX_MIN(a, alvl, b, blvl, newlvl) uint8x16_t ELT(a, newlvl) = vminq_u8(ELT(a, alvl), ELT(b, blvl))
#define PIX_MAX(a, alvl, b, blvl, newlvl) uint8x16_t ELT(b, newlvl) = vmaxq_u8(ELT(a, alvl), ELT(b, blvl))
SORT9;
#undef PIX_MAX
#undef PIX_MIN
vst1q_u8(pdst + j, v4_lv19);
}
}
{
size_t k = colsn - 8;
uint8x8_t v0_lv00 = vld1_u8(psrc0 + k - cn);
uint8x8_t v1_lv00 = vld1_u8(psrc1 + k - cn);
uint8x8_t v2_lv00 = vld1_u8(psrc2 + k - cn);
uint8x8_t v3_lv00 = vld1_u8(psrc0 + k);
uint8x8_t v4_lv00 = vld1_u8(psrc1 + k);
uint8x8_t v5_lv00 = vld1_u8(psrc2 + k);
uint8x8_t v6_lv00 = srcMargin.right > 0 ? vld1_u8(psrc0 + k + cn) : getRightReplicate(v3_lv00, cn);
uint8x8_t v7_lv00 = srcMargin.right > 0 ? vld1_u8(psrc1 + k + cn) : getRightReplicate(v4_lv00, cn);
uint8x8_t v8_lv00 = srcMargin.right > 0 ? vld1_u8(psrc2 + k + cn) : getRightReplicate(v5_lv00, cn);
goto medianBlur3x3_tailBody;
for (; k >= j - 8; k -= 8) {
v0_lv00 = vld1_u8(psrc0 + k - cn);
v1_lv00 = vld1_u8(psrc1 + k - cn);
v2_lv00 = vld1_u8(psrc2 + k - cn);
v3_lv00 = vld1_u8(psrc0 + k);
v4_lv00 = vld1_u8(psrc1 + k);
v5_lv00 = vld1_u8(psrc2 + k);
v6_lv00 = vld1_u8(psrc0 + k + cn);
v7_lv00 = vld1_u8(psrc1 + k + cn);
v8_lv00 = vld1_u8(psrc2 + k + cn);
medianBlur3x3_tailBody:
#define PIX_MIN(a, alvl, b, blvl, newlvl) uint8x8_t ELT(a, newlvl) = vmin_u8(ELT(a, alvl), ELT(b, blvl))
#define PIX_MAX(a, alvl, b, blvl, newlvl) uint8x8_t ELT(b, newlvl) = vmax_u8(ELT(a, alvl), ELT(b, blvl))
SORT9;
#undef PIX_MAX
#undef PIX_MIN
vst1_u8(pdst + k, v4_lv19);
}
}
}
#else
(void)size;
(void)numChannels;
(void)srcBase;
(void)srcStride;
(void)srcMargin;
(void)dstBase;
(void)dstStride;
#endif
}
} // namespace CAROTENE_NS
+139
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@@ -0,0 +1,139 @@
/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2014, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#include <algorithm>
#include "common.hpp"
#include "vtransform.hpp"
namespace CAROTENE_NS {
#ifdef CAROTENE_NEON
namespace {
template <typename T>
struct Min
{
typedef T type;
void operator() (const typename internal::VecTraits<T>::vec128 & v_src0,
const typename internal::VecTraits<T>::vec128 & v_src1,
typename internal::VecTraits<T>::vec128 & v_dst) const
{
v_dst = internal::vminq(v_src0, v_src1);
}
void operator() (const typename internal::VecTraits<T>::vec64 & v_src0,
const typename internal::VecTraits<T>::vec64 & v_src1,
typename internal::VecTraits<T>::vec64 & v_dst) const
{
v_dst = internal::vmin(v_src0, v_src1);
}
void operator() (const T * src0, const T * src1, T * dst) const
{
dst[0] = std::min(src0[0], src1[0]);
}
};
template <typename T>
struct Max
{
typedef T type;
void operator() (const typename internal::VecTraits<T>::vec128 & v_src0,
const typename internal::VecTraits<T>::vec128 & v_src1,
typename internal::VecTraits<T>::vec128 & v_dst) const
{
v_dst = internal::vmaxq(v_src0, v_src1);
}
void operator() (const typename internal::VecTraits<T>::vec64 & v_src0,
const typename internal::VecTraits<T>::vec64 & v_src1,
typename internal::VecTraits<T>::vec64 & v_dst) const
{
v_dst = internal::vmax(v_src0, v_src1);
}
void operator() (const T * src0, const T * src1, T * dst) const
{
dst[0] = std::max(src0[0], src1[0]);
}
};
} // namespace
#define IMPL_OP(fun, op, type) \
void fun(const Size2D &size, \
const type * src0Base, ptrdiff_t src0Stride, \
const type * src1Base, ptrdiff_t src1Stride, \
type * dstBase, ptrdiff_t dstStride) \
{ \
internal::assertSupportedConfiguration(); \
internal::vtransform(size, \
src0Base, src0Stride, \
src1Base, src1Stride, \
dstBase, dstStride, op<type>()); \
}
#else
#define IMPL_OP(fun, op, type) \
void fun(const Size2D &, \
const type *, ptrdiff_t, \
const type *, ptrdiff_t, \
type *, ptrdiff_t) \
{ \
internal::assertSupportedConfiguration(); \
}
#endif
#define IMPL_MINMAX(type) IMPL_OP(min, Min, type) IMPL_OP(max, Max, type)
IMPL_MINMAX(u8)
IMPL_MINMAX(s8)
IMPL_MINMAX(u16)
IMPL_MINMAX(s16)
IMPL_MINMAX(u32)
IMPL_MINMAX(s32)
IMPL_MINMAX(f32)
} // namespace CAROTENE_NS
File diff suppressed because it is too large Load Diff
+728
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@@ -0,0 +1,728 @@
/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2014, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#include "common.hpp"
#include <algorithm>
#include <limits>
#include <vector>
#include <cstring>
namespace CAROTENE_NS {
bool isMorph3x3Supported(const Size2D &size, BORDER_MODE border)
{
return isSupportedConfiguration() && size.width >= 16 &&
(border == BORDER_MODE_CONSTANT ||
border == BORDER_MODE_REPLICATE);
}
#ifdef CAROTENE_NEON
namespace {
struct ErodeVecOp
{
ErodeVecOp():borderValue(0){}
ErodeVecOp(BORDER_MODE border, u8 borderValue_) :
borderValue(borderValue_)
{
if (border == BORDER_MODE_REPLICATE)
borderValue = std::numeric_limits<u8>::max();
}
inline uint8x16_t operator()(uint8x16_t a, uint8x16_t b) const
{
return vminq_u8(a, b);
}
inline uint8x8_t operator()(uint8x8_t a, uint8x8_t b) const
{
return vmin_u8(a, b);
}
inline u8 operator()(u8 a, u8 b) const
{
return std::min(a, b);
}
u8 borderValue;
};
struct DilateVecOp
{
DilateVecOp():borderValue(0){}
DilateVecOp(BORDER_MODE border, u8 borderValue_) :
borderValue(borderValue_)
{
if (border == BORDER_MODE_REPLICATE)
borderValue = std::numeric_limits<u8>::min();
}
inline uint8x16_t operator()(uint8x16_t a, uint8x16_t b) const
{
return vmaxq_u8(a, b);
}
inline uint8x8_t operator()(uint8x8_t a, uint8x8_t b) const
{
return vmax_u8(a, b);
}
inline u8 operator()(u8 a, u8 b) const
{
return std::max(a, b);
}
u8 borderValue;
};
template <typename VecOp>
void morph3x3(const Size2D &size,
const u8 * srcBase, ptrdiff_t srcStride,
u8 * dstBase, ptrdiff_t dstStride,
BORDER_MODE border, const VecOp & vop)
{
u8 borderValue = vop.borderValue;
ptrdiff_t width = (ptrdiff_t)size.width, height = (ptrdiff_t)size.height;
const uint8x16_t v_zero = vdupq_n_u8(0);
const uint8x16_t v_border = vdupq_n_u8(borderValue);
uint8x16_t tprev = v_zero, tcurr = v_zero, tnext = v_zero;
uint8x16_t t0 = v_zero, t1 = v_zero, t2 = v_zero;
for (ptrdiff_t y = 0; y < height; ++y)
{
const u8 * srow0 = y == 0 && border == BORDER_MODE_CONSTANT ? NULL : internal::getRowPtr(srcBase, srcStride, std::max<ptrdiff_t>(y - 1, 0));
const u8 * srow1 = internal::getRowPtr(srcBase, srcStride, y);
const u8 * srow2 = y + 1 == height && border == BORDER_MODE_CONSTANT ? NULL : internal::getRowPtr(srcBase, srcStride, std::min(y + 1, height - 1));
u8 * drow = internal::getRowPtr(dstBase, dstStride, y);
u8 prevx = 0, currx = 0, nextx = 0;
ptrdiff_t x = 0;
const ptrdiff_t bwidth = y + 2 < height ? width : (width - 16);
// perform vertical convolution
for ( ; x <= bwidth; x += 16)
{
internal::prefetch(srow0 + x);
internal::prefetch(srow1 + x);
internal::prefetch(srow2 + x);
uint8x16_t x0 = !srow0 ? v_border : vld1q_u8(srow0 + x);
uint8x16_t x1 = vld1q_u8(srow1 + x);
uint8x16_t x2 = !srow2 ? v_border : vld1q_u8(srow2 + x);
// calculate values for plain CPU part below if needed
if (x + 16 >= bwidth)
{
ptrdiff_t x3 = x == width ? width - 1 : x;
ptrdiff_t x4 = border == BORDER_MODE_CONSTANT ? x3 - 1 : std::max<ptrdiff_t>(x3 - 1, 0);
if (border == BORDER_MODE_CONSTANT && x4 < 0)
prevx = borderValue;
else
prevx = vop(srow1[x4],
vop(srow2 ? srow2[x4] : borderValue,
srow0 ? srow0[x4] : borderValue));
currx = vop(srow2 ? srow2[x3] : borderValue, vop(srow1[x3], srow0 ? srow0[x3] : borderValue));
}
// make shift
if (x)
{
tprev = tcurr;
tcurr = tnext;
}
// and calculate next value
tnext = vop(vop(x0, x1), x2);
// make extrapolation for the first elements
if (!x)
{
// make border
if (border == BORDER_MODE_CONSTANT)
tcurr = v_border;
else if (border == BORDER_MODE_REPLICATE)
tcurr = vdupq_n_u8(vgetq_lane_u8(tnext, 0));
continue;
}
// combine 3 "shifted" vectors
t0 = vextq_u8(tprev, tcurr, 15);
t1 = tcurr;
t2 = vextq_u8(tcurr, tnext, 1);
// and add them
t0 = vop(t0, vop(t1, t2));
vst1q_u8(drow + x - 16, t0);
}
x -= 16;
if (x == width)
--x;
for ( ; x < width; ++x)
{
// make extrapolation for the last elements
if (x + 1 >= width)
{
if (border == BORDER_MODE_CONSTANT)
nextx = borderValue;
else if (border == BORDER_MODE_REPLICATE)
nextx = vop(srow2[x], vop(srow1[x], srow0[x]));
}
else
nextx = vop(vop(srow2 ? srow2[x + 1] : borderValue,
srow0 ? srow0[x + 1] : borderValue),
srow1[x + 1]);
drow[x] = vop(prevx, vop(currx, nextx));
// make shift
prevx = currx;
currx = nextx;
}
}
}
} // namespace
#endif
void erode3x3(const Size2D &size,
const u8 * srcBase, ptrdiff_t srcStride,
u8 * dstBase, ptrdiff_t dstStride,
BORDER_MODE border, u8 borderValue)
{
internal::assertSupportedConfiguration(isMorph3x3Supported(size, border));
#ifdef CAROTENE_NEON
morph3x3(size,
srcBase, srcStride,
dstBase, dstStride,
border, ErodeVecOp(border, borderValue));
#else
(void)size;
(void)srcBase;
(void)srcStride;
(void)dstBase;
(void)dstStride;
(void)border;
(void)borderValue;
#endif
}
void dilate3x3(const Size2D &size,
const u8 * srcBase, ptrdiff_t srcStride,
u8 * dstBase, ptrdiff_t dstStride,
BORDER_MODE border, u8 borderValue)
{
internal::assertSupportedConfiguration(isMorph3x3Supported(size, border));
#ifdef CAROTENE_NEON
morph3x3(size,
srcBase, srcStride,
dstBase, dstStride,
border, DilateVecOp(border, borderValue));
#else
(void)size;
(void)srcBase;
(void)srcStride;
(void)dstBase;
(void)dstStride;
(void)border;
(void)borderValue;
#endif
}
#ifdef CAROTENE_NEON
namespace {
template<class VecUpdate>
void MorphRow(const u8* src, u8* dst, size_t width, s32 cn, size_t ksize)
{
size_t i, j, k;
size_t width16 = (width & -16) * cn;
size_t width8 = (width & -8) * cn;
width *= cn;
if (ksize == 1)
{
for (i = 0; i < width; i++)
dst[i] = src[i];
return;
}
ksize = ksize*cn;
VecUpdate updateOp;
switch(cn)
{
case 1:
for (i = 0; i < width16; i += 16)
{
const u8* sptr = src + i;
uint8x16_t s = vld1q_u8(sptr);
internal::prefetch(sptr);
for( k = 1; k < ksize; ++k)
s = updateOp(s, vld1q_u8(sptr + k));
vst1q_u8(dst + i, s);
}
for (; i < width8; i += 8)
{
const u8* sptr = src + i;
uint8x8_t s = vld1_u8(sptr);
internal::prefetch(sptr);
for( k = 1; k < ksize; ++k)
s = updateOp(s, vld1_u8(sptr + k));
vst1_u8(dst + i, s);
}
break;
default:
for (i = 0; i < width16; i += 16)
{
uint8x16_t s = vld1q_u8(src + i);
internal::prefetch(src + i);
for (k = cn; k < ksize; k += cn)
s = updateOp(s, vld1q_u8(src + i + k));
vst1q_u8(dst + i, s);
}
for (; i < width8; i += 8)
{
uint8x8_t s = vld1_u8(src + i);
internal::prefetch(src + i);
for (k = cn; k < ksize; k += cn)
s = updateOp(s, vld1_u8(src + i + k));
vst1_u8(dst + i, s);
}
break;
}
ptrdiff_t i0 = i;
for( k = 0; k < (size_t)cn; k++, src++, dst++ )
{
for( i = i0; i <= width - cn*2; i += cn*2 )
{
const u8* s = src + i;
u8 m = s[cn];
for( j = cn*2; j < ksize; j += cn )
m = updateOp(m, s[j]);
dst[i] = updateOp(m, s[0]);
dst[i+cn] = updateOp(m, s[j]);
}
for( ; i < width; i += cn )
{
const u8* s = src + i;
u8 m = s[0];
for( j = cn; j < ksize; j += cn )
m = updateOp(m, s[j]);
dst[i] = m;
}
}
}
template<class VecUpdate>
void MorphColumn(const u8** src, u8* dst, ptrdiff_t dststep, size_t count, size_t width, size_t ksize)
{
size_t i, k;
size_t width32 = width & -32;
VecUpdate updateOp;
uint8x16_t x0,x1,s0,s1;
if (ksize == 3)
{
for (; count > 1; count -= 2, dst += dststep * 2, src += 2)
{
for (i = 0; i < width32; i += 32)
{
const u8* sptr = src[1] + i;
s0 = vld1q_u8(sptr);
s1 = vld1q_u8(sptr + 16);
internal::prefetch(sptr);
sptr = src[2] + i;
x0 = vld1q_u8(sptr);
x1 = vld1q_u8(sptr + 16);
internal::prefetch(sptr);
s0 = updateOp(s0, x0);
s1 = updateOp(s1, x1);
sptr = src[0] + i;
x0 = vld1q_u8(sptr);
x1 = vld1q_u8(sptr + 16);
internal::prefetch(sptr);
vst1q_u8(dst+i, updateOp(s0, x0));
vst1q_u8(dst+i+16, updateOp(s1, x1));
sptr = src[3] + i;
x0 = vld1q_u8(sptr);
x1 = vld1q_u8(sptr + 16);
internal::prefetch(sptr);
vst1q_u8(dst + dststep + i, updateOp(s0, x0));
vst1q_u8(dst + dststep + i + 16, updateOp(s1, x1));
}
for(; i < width; i++ )
{
u8 s = src[1][i];
for( k = 2; k < ksize; k++ )
s = updateOp(s, src[k][i]);
dst[i] = updateOp(s, src[0][i]);
dst[i+dststep] = updateOp(s, src[k][i]);
}
}
}
else if (ksize > 1)
for (; count > 1; count -= 2, dst += dststep*2, src += 2)
{
for (i = 0; i < width32; i += 32)
{
const u8* sptr = src[1] + i;
s0 = vld1q_u8(sptr);
s1 = vld1q_u8(sptr + 16);
internal::prefetch(sptr);
for (k = 2; k < ksize; k++)
{
sptr = src[k] + i;
x0 = vld1q_u8(sptr);
x1 = vld1q_u8(sptr + 16);
internal::prefetch(sptr);
s0 = updateOp(s0, x0);
s1 = updateOp(s1, x1);
}
sptr = src[0] + i;
x0 = vld1q_u8(sptr);
x1 = vld1q_u8(sptr + 16);
internal::prefetch(sptr);
vst1q_u8(dst+i, updateOp(s0, x0));
vst1q_u8(dst+i+16, updateOp(s1, x1));
sptr = src[k] + i;
x0 = vld1q_u8(sptr);
x1 = vld1q_u8(sptr + 16);
internal::prefetch(sptr);
vst1q_u8(dst + dststep + i, updateOp(s0, x0));
vst1q_u8(dst + dststep + i + 16, updateOp(s1, x1));
}
for(; i < width; i++ )
{
u8 s = src[1][i];
for( k = 2; k < ksize; k++ )
s = updateOp(s, src[k][i]);
dst[i] = updateOp(s, src[0][i]);
dst[i+dststep] = updateOp(s, src[k][i]);
}
}
for (; count > 0; count--, dst += dststep, src++)
{
for (i = 0; i < width32; i += 32)
{
const u8* sptr = src[0] + i;
s0 = vld1q_u8(sptr);
s1 = vld1q_u8(sptr + 16);
internal::prefetch(sptr);
for (k = 1; k < ksize; k++)
{
sptr = src[k] + i;
x0 = vld1q_u8(sptr);
x1 = vld1q_u8(sptr + 16);
internal::prefetch(sptr);
s0 = updateOp(s0, x0);
s1 = updateOp(s1, x1);
}
vst1q_u8(dst + i, s0);
vst1q_u8(dst + i + 16, s1);
}
for(; i < width; i++ )
{
u8 s = src[0][i];
for( k = 1; k < ksize; k++ )
s = updateOp(s, src[k][i]);
dst[i] = s;
}
}
}
template <class Op>
inline void morphology(const Size2D &ssize, u32 cn,
const u8 * srcBase, ptrdiff_t srcStride,
u8 * dstBase, ptrdiff_t dstStride,
const Size2D &ksize,
size_t anchorX, size_t anchorY,
BORDER_MODE rowBorderType, BORDER_MODE columnBorderType,
const u8 * borderValues, Margin borderMargin)
{
//Temporary buffers common for all iterations
std::vector<u8> _srcRow(cn*(ssize.width + ksize.width - 1));
u8* srcRow = &_srcRow[0];
size_t bufRows = std::max<size_t>(ksize.height + 3, std::max<size_t>(anchorY, ksize.height-anchorY-1)*2+1);
std::vector<u8*> _rows(bufRows);
u8** rows = &_rows[0];
// adjust swidthcn so that the used part of buffers stays compact in memory
ptrdiff_t swidthcn = cn*((ssize.width + 15) & -16);// cn * (aligned ssize.width size)
std::vector<u8> _ringBuf(swidthcn*bufRows+16);
u8 * ringBuf = internal::alignPtr(&_ringBuf[0], 16);
size_t borderLength = std::max<size_t>(ksize.width - 1, 1) * cn;
std::vector<ptrdiff_t> _borderTab(borderLength);
ptrdiff_t * borderTab = &_borderTab[0];
std::vector<u8> _constBorderValue;
std::vector<u8> _constBorderRow;
u8 * constBorderValue = NULL;
u8 * constBorderRow = NULL;
if( rowBorderType == BORDER_MODE_CONSTANT || columnBorderType == BORDER_MODE_CONSTANT )
{
_constBorderValue.resize(borderLength);
constBorderValue = &_constBorderValue[0];
size_t i;
for(i = 0; i < cn; i++)
constBorderValue[i] = borderValues[i];
for(; i < borderLength; i++)
constBorderValue[i] = constBorderValue[i-cn];
if( columnBorderType == BORDER_MODE_CONSTANT )
{
_constBorderRow.resize(cn*(ssize.width + ksize.width - 1 + 16));
constBorderRow = internal::alignPtr(&_constBorderRow[0], 16);
size_t N = (ssize.width + ksize.width - 1)*cn;
for( i = 0; i < N; i += borderLength )
{
size_t n = std::min( borderLength, N - i );
for(size_t j = 0; j < n; j++)
srcRow[i+j] = constBorderValue[j];
}
MorphRow<Op>(srcRow, constBorderRow, ssize.width, cn, ksize.width);
}
}
Size2D wholeSize(ssize.width + borderMargin.left + borderMargin.right,
ssize.height + borderMargin.top + borderMargin.bottom);
ptrdiff_t dx1 = std::max<ptrdiff_t>(anchorX - (ptrdiff_t)borderMargin.left, 0);
ptrdiff_t dx2 = std::max<ptrdiff_t>((ptrdiff_t)ksize.width - anchorX - 1 - (ptrdiff_t)borderMargin.right, 0);
// recompute border tables
if( dx1 > 0 || dx2 > 0 )
{
if( rowBorderType == BORDER_MODE_CONSTANT )
{
memcpy( srcRow, &constBorderValue[0], dx1*cn );
memcpy( srcRow + (ssize.width + ksize.width - 1 - dx2)*cn, &constBorderValue[0], dx2*cn );
}
else
{
ptrdiff_t xofs1 = std::min<ptrdiff_t>(borderMargin.left, anchorX) - borderMargin.left;
ptrdiff_t wholeWidth = wholeSize.width;
ptrdiff_t i, j;
for( i = 0; i < dx1; i++ )
{
ptrdiff_t p0 = (internal::borderInterpolate(i-dx1, wholeWidth, rowBorderType) + xofs1)*cn;
for( j = 0; j < (ptrdiff_t)cn; j++ )
borderTab[i*cn + j] = p0 + j;
}
for( i = 0; i < dx2; i++ )
{
ptrdiff_t p0 = (internal::borderInterpolate(wholeWidth + i, wholeWidth, rowBorderType) + xofs1)*cn;
for( j = 0; j < (ptrdiff_t)cn; j++ )
borderTab[(i + dx1)*cn + j] = p0 + j;
}
}
}
ptrdiff_t startY, startY0, endY, rowCount;
startY = startY0 = std::max<ptrdiff_t>(borderMargin.top - anchorY, 0);
endY = std::min<ptrdiff_t>(borderMargin.top + ssize.height + ksize.height - anchorY - 1, wholeSize.height);
const u8* src = srcBase + (startY - borderMargin.top)*srcStride;
u8* dst = dstBase;
ptrdiff_t width = ssize.width, kwidth = ksize.width;
ptrdiff_t kheight = ksize.height, ay = anchorY;
ptrdiff_t width1 = ssize.width + kwidth - 1;
ptrdiff_t xofs1 = std::min<ptrdiff_t>(borderMargin.left, anchorX);
bool makeBorder = (dx1 > 0 || dx2 > 0) && rowBorderType != BORDER_MODE_CONSTANT;
ptrdiff_t dy = 0, i = 0;
src -= xofs1*cn;
ptrdiff_t count = endY - startY;
rowCount = 0;
for(;; dst += dstStride*i, dy += i)
{
ptrdiff_t dcount = bufRows - ay - startY - rowCount + borderMargin.top;
dcount = dcount > 0 ? dcount : bufRows - kheight + 1;
dcount = std::min(dcount, count);
count -= dcount;
for( ; dcount-- > 0; src += srcStride )
{
ptrdiff_t bi = (startY - startY0 + rowCount) % bufRows;
u8* brow = ringBuf + bi*swidthcn;
if( (size_t)(++rowCount) > bufRows )
{
--rowCount;
++startY;
}
memcpy( srcRow + dx1*cn, src, (width1 - dx2 - dx1)*cn );
if( makeBorder )
{
for( i = 0; i < (ptrdiff_t)(dx1*cn); i++ )
srcRow[i] = src[borderTab[i]];
for( i = 0; i < (ptrdiff_t)(dx2*cn); i++ )
srcRow[i + (width1 - dx2)*cn] = src[borderTab[i+dx1*cn]];
}
MorphRow<Op>(srcRow, brow, width, cn, ksize.width);
}
ptrdiff_t max_i = std::min<ptrdiff_t>(bufRows, ssize.height - dy + (kheight - 1));
for( i = 0; i < max_i; i++ )
{
ptrdiff_t srcY = internal::borderInterpolate(dy + i + borderMargin.top - ay,
wholeSize.height, columnBorderType);
if( srcY < 0 ) // can happen only with constant border type
rows[i] = constBorderRow;
else
{
if( srcY >= startY + rowCount )
break;
ptrdiff_t bi = (srcY - startY0) % bufRows;
rows[i] = ringBuf + bi*swidthcn;
}
}
if( i < kheight )
break;
i -= kheight - 1;
MorphColumn<Op>((const u8**)rows, dst, dstStride, i, ssize.width*cn, ksize.height);
}
}
} // namespace
#endif // CAROTENE_NEON
void erode(const Size2D &ssize, u32 cn,
const u8 * srcBase, ptrdiff_t srcStride,
u8 * dstBase, ptrdiff_t dstStride,
const Size2D &ksize,
size_t anchorX, size_t anchorY,
BORDER_MODE rowBorderType, BORDER_MODE columnBorderType,
const u8 * borderValues, Margin borderMargin)
{
internal::assertSupportedConfiguration(ssize.width > 0 && ssize.height > 0 &&
anchorX < ksize.width && anchorY < ksize.height);
#ifdef CAROTENE_NEON
morphology<ErodeVecOp>(ssize, cn, srcBase, srcStride, dstBase, dstStride,
ksize, anchorX, anchorY, rowBorderType, columnBorderType,
borderValues, borderMargin);
#else
(void)cn;
(void)srcBase;
(void)srcStride;
(void)dstBase;
(void)dstStride;
(void)rowBorderType;
(void)columnBorderType;
(void)borderValues;
(void)borderMargin;
#endif
}
void dilate(const Size2D &ssize, u32 cn,
const u8 * srcBase, ptrdiff_t srcStride,
u8 * dstBase, ptrdiff_t dstStride,
const Size2D &ksize,
size_t anchorX, size_t anchorY,
BORDER_MODE rowBorderType, BORDER_MODE columnBorderType,
const u8 * borderValues, Margin borderMargin)
{
internal::assertSupportedConfiguration(ssize.width > 0 && ssize.height > 0 &&
anchorX < ksize.width && anchorY < ksize.height);
#ifdef CAROTENE_NEON
morphology<DilateVecOp>(ssize, cn, srcBase, srcStride, dstBase, dstStride,
ksize, anchorX, anchorY, rowBorderType, columnBorderType,
borderValues, borderMargin);
#else
(void)cn;
(void)srcBase;
(void)srcStride;
(void)dstBase;
(void)dstStride;
(void)rowBorderType;
(void)columnBorderType;
(void)borderValues;
(void)borderMargin;
#endif
}
} // namespace CAROTENE_NS
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/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2012-2015, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#include "common.hpp"
#include "saturate_cast.hpp"
#include <vector>
#include <float.h> // For FLT_EPSILON
namespace CAROTENE_NS {
#define CV_DESCALE(x,n) (((x) + (1 << ((n)-1))) >> (n))
/*
* Pyramidal Lucas-Kanade Optical Flow level processing
*/
void pyrLKOptFlowLevel(const Size2D &size, s32 cn,
const u8 *prevData, ptrdiff_t prevStride,
const s16 *prevDerivData, ptrdiff_t prevDerivStride,
const u8 *nextData, ptrdiff_t nextStride,
u32 ptCount,
const f32 *prevPts, f32 *nextPts,
u8 *status, f32 *err,
const Size2D &winSize,
u32 terminationCount, f64 terminationEpsilon,
bool getMinEigenVals,
f32 minEigThreshold)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
f32 halfWinX = (winSize.width-1)*0.5f, halfWinY = (winSize.height-1)*0.5f;
s32 cn2 = cn*2;
std::vector<s16> _buf(winSize.total()*(cn + cn2));
s16* IWinBuf = &_buf[0];
s32 IWinBufStride = winSize.width*cn;
s16* derivIWinBuf = &_buf[winSize.total()*cn];
s32 derivIWinBufStride = winSize.width*cn2;
for( u32 ptidx = 0; ptidx < ptCount; ptidx++ )
{
u32 ptref = ptidx << 1;
f32 prevPtX = prevPts[ptref+0];
f32 prevPtY = prevPts[ptref+1];
f32 nextPtX = nextPts[ptref+0];
f32 nextPtY = nextPts[ptref+1];
s32 iprevPtX, iprevPtY;
s32 inextPtX, inextPtY;
prevPtX -= halfWinX;
prevPtY -= halfWinY;
iprevPtX = floor(prevPtX);
iprevPtY = floor(prevPtY);
if( iprevPtX < -(s32)winSize.width || iprevPtX >= (s32)size.width ||
iprevPtY < -(s32)winSize.height || iprevPtY >= (s32)size.height )
{
if( status )
status[ptidx] = false;
if( err )
err[ptidx] = 0;
continue;
}
f32 a = prevPtX - iprevPtX;
f32 b = prevPtY - iprevPtY;
const s32 W_BITS = 14, W_BITS1 = 14;
const f32 FLT_SCALE = 1.f/(1 << 20);
s32 iw00 = round((1.f - a)*(1.f - b)*(1 << W_BITS));
s32 iw01 = round(a*(1.f - b)*(1 << W_BITS));
s32 iw10 = round((1.f - a)*b*(1 << W_BITS));
s32 iw11 = (1 << W_BITS) - iw00 - iw01 - iw10;
s32 dstep = prevDerivStride/sizeof(s16);
f32 A11 = 0, A12 = 0, A22 = 0;
int16x4_t viw00 = vmov_n_s16((s16)iw00);
int16x4_t viw01 = vmov_n_s16((s16)iw01);
int16x4_t viw10 = vmov_n_s16((s16)iw10);
int16x4_t viw11 = vmov_n_s16((s16)iw11);
float32x4_t vA11 = vmovq_n_f32(0);
float32x4_t vA12 = vmovq_n_f32(0);
float32x4_t vA22 = vmovq_n_f32(0);
s32 wwcn = winSize.width*cn;
// extract the patch from the first image, compute covariation matrix of derivatives
s32 x = 0;
for(s32 y = 0; y < (s32)winSize.height; y++ )
{
const u8* src = prevData + prevStride*(y + iprevPtY) + iprevPtX*cn;
const s16* dsrc = prevDerivData + dstep*(y + iprevPtY) + iprevPtX*cn2;
s16* Iptr = IWinBuf + y*IWinBufStride;
s16* dIptr = derivIWinBuf + y*derivIWinBufStride;
internal::prefetch(src + x + prevStride * 2, 0);
for(x = 0; x <= wwcn - 8; x += 8)
{
uint8x8_t vsrc00 = vld1_u8(src + x);
uint8x8_t vsrc10 = vld1_u8(src + x + prevStride);
uint8x8_t vsrc01 = vld1_u8(src + x + cn);
uint8x8_t vsrc11 = vld1_u8(src + x + prevStride + cn);
int16x8_t vs00 = vreinterpretq_s16_u16(vmovl_u8(vsrc00));
int16x8_t vs10 = vreinterpretq_s16_u16(vmovl_u8(vsrc10));
int16x8_t vs01 = vreinterpretq_s16_u16(vmovl_u8(vsrc01));
int16x8_t vs11 = vreinterpretq_s16_u16(vmovl_u8(vsrc11));
int32x4_t vsuml = vmull_s16(vget_low_s16(vs00), viw00);
int32x4_t vsumh = vmull_s16(vget_high_s16(vs10), viw10);
vsuml = vmlal_s16(vsuml, vget_low_s16(vs01), viw01);
vsumh = vmlal_s16(vsumh, vget_high_s16(vs11), viw11);
vsuml = vmlal_s16(vsuml, vget_low_s16(vs10), viw10);
vsumh = vmlal_s16(vsumh, vget_high_s16(vs00), viw00);
vsuml = vmlal_s16(vsuml, vget_low_s16(vs11), viw11);
vsumh = vmlal_s16(vsumh, vget_high_s16(vs01), viw01);
int16x4_t vsumnl = vrshrn_n_s32(vsuml, W_BITS1-5);
int16x4_t vsumnh = vrshrn_n_s32(vsumh, W_BITS1-5);
vst1q_s16(Iptr + x, vcombine_s16(vsumnl, vsumnh));
}
for(; x <= wwcn - 4; x += 4)
{
uint8x8_t vsrc00 = vld1_u8(src + x);
uint8x8_t vsrc10 = vld1_u8(src + x + prevStride);
uint8x8_t vsrc01 = vld1_u8(src + x + cn);
uint8x8_t vsrc11 = vld1_u8(src + x + prevStride + cn);
int16x4_t vs00 = vget_low_s16(vreinterpretq_s16_u16(vmovl_u8(vsrc00)));
int16x4_t vs10 = vget_low_s16(vreinterpretq_s16_u16(vmovl_u8(vsrc10)));
int16x4_t vs01 = vget_low_s16(vreinterpretq_s16_u16(vmovl_u8(vsrc01)));
int16x4_t vs11 = vget_low_s16(vreinterpretq_s16_u16(vmovl_u8(vsrc11)));
int32x4_t vsuml1 = vmull_s16(vs00, viw00);
int32x4_t vsuml2 = vmull_s16(vs01, viw01);
vsuml1 = vmlal_s16(vsuml1, vs10, viw10);
vsuml2 = vmlal_s16(vsuml2, vs11, viw11);
int32x4_t vsuml = vaddq_s32(vsuml1, vsuml2);
int16x4_t vsumnl = vrshrn_n_s32(vsuml, W_BITS1-5);
vst1_s16(Iptr + x, vsumnl);
}
internal::prefetch(dsrc + dstep * 2, 0);
for(x = 0; x <= wwcn - 4; x += 4, dsrc += 4*2, dIptr += 4*2 )
{
#if 0
__asm__ (
"vld2.16 {d0-d1}, [%[dsrc00]] \n\t"
"vld2.16 {d2-d3}, [%[dsrc10]] \n\t"
"vld2.16 {d4-d5}, [%[dsrc01]] \n\t"
"vld2.16 {d6-d7}, [%[dsrc11]] \n\t"
"vmull.s16 q4, d3, %P[viw10] \n\t"
"vmull.s16 q5, d0, %P[viw00] \n\t"
"vmlal.s16 q4, d7, %P[viw11] \n\t"
"vmlal.s16 q5, d4, %P[viw01] \n\t"
"vmlal.s16 q4, d1, %P[viw00] \n\t"
"vmlal.s16 q5, d2, %P[viw10] \n\t"
"vmlal.s16 q4, d5, %P[viw01] \n\t"
"vmlal.s16 q5, d6, %P[viw11] \n\t"
"vrshrn.s32 d13, q4, %[W_BITS1] \n\t"
"vrshrn.s32 d12, q5, %[W_BITS1] \n\t"
"vmull.s16 q3, d13, d13 \n\t"
"vmull.s16 q4, d12, d12 \n\t"
"vmull.s16 q5, d13, d12 \n\t"
"vcvt.f32.s32 q3, q3 \n\t"
"vcvt.f32.s32 q4, q4 \n\t"
"vcvt.f32.s32 q5, q5 \n\t"
"vadd.f32 %q[vA22], q3 \n\t"
"vadd.f32 %q[vA11], q4 \n\t"
"vadd.f32 %q[vA12], q5 \n\t"
"vst2.16 {d12-d13}, [%[out]] \n\t"
: [vA22] "=w" (vA22),
[vA11] "=w" (vA11),
[vA12] "=w" (vA12)
: "0" (vA22),
"1" (vA11),
"2" (vA12),
[out] "r" (dIptr),
[dsrc00] "r" (dsrc),
[dsrc10] "r" (dsrc + dstep),
[dsrc01] "r" (dsrc + cn2),
[dsrc11] "r" (dsrc + dstep + cn2),
[viw00] "w" (viw00),
[viw10] "w" (viw10),
[viw01] "w" (viw01),
[viw11] "w" (viw11),
[W_BITS1] "I" (W_BITS1)
: "d0","d1","d2","d3","d4","d5","d6","d7","d8","d9","d10","d11","d12","d13"
);
#else
int16x4x2_t vdsrc00 = vld2_s16(dsrc);
int16x4x2_t vdsrc10 = vld2_s16(dsrc + dstep);
int16x4x2_t vdsrc01 = vld2_s16(dsrc + cn2);
int16x4x2_t vdsrc11 = vld2_s16(dsrc + dstep + cn2);
int32x4_t vsumy = vmull_s16(vdsrc10.val[1], viw10);
int32x4_t vsumx = vmull_s16(vdsrc00.val[0], viw00);
vsumy = vmlal_s16(vsumy, vdsrc11.val[1], viw11);
vsumx = vmlal_s16(vsumx, vdsrc01.val[0], viw01);
vsumy = vmlal_s16(vsumy, vdsrc00.val[1], viw00);
vsumx = vmlal_s16(vsumx, vdsrc10.val[0], viw10);
vsumy = vmlal_s16(vsumy, vdsrc01.val[1], viw01);
vsumx = vmlal_s16(vsumx, vdsrc11.val[0], viw11);
int16x4_t vsumny = vrshrn_n_s32(vsumy, W_BITS1);
int16x4_t vsumnx = vrshrn_n_s32(vsumx, W_BITS1);
int32x4_t va22i = vmull_s16(vsumny, vsumny);
int32x4_t va11i = vmull_s16(vsumnx, vsumnx);
int32x4_t va12i = vmull_s16(vsumnx, vsumny);
float32x4_t va22f = vcvtq_f32_s32(va22i);
float32x4_t va11f = vcvtq_f32_s32(va11i);
float32x4_t va12f = vcvtq_f32_s32(va12i);
vA22 = vaddq_f32(vA22, va22f);
vA11 = vaddq_f32(vA11, va11f);
vA12 = vaddq_f32(vA12, va12f);
int16x4x2_t vsum;
vsum.val[0] = vsumnx;
vsum.val[1] = vsumny;
vst2_s16(dIptr, vsum);
#endif
}
for( ; x < wwcn; x++, dsrc += 2, dIptr += 2 )
{
s32 ival = CV_DESCALE(src[x]*iw00 + src[x+cn]*iw01 +
src[x+prevStride]*iw10 + src[x+prevStride+cn]*iw11, W_BITS1-5);
s32 ixval = CV_DESCALE(dsrc[0]*iw00 + dsrc[cn2]*iw01 +
dsrc[dstep]*iw10 + dsrc[dstep+cn2]*iw11, W_BITS1);
s32 iyval = CV_DESCALE(dsrc[1]*iw00 + dsrc[cn2+1]*iw01 + dsrc[dstep+1]*iw10 +
dsrc[dstep+cn2+1]*iw11, W_BITS1);
Iptr[x] = (s16)ival;
dIptr[0] = (s16)ixval;
dIptr[1] = (s16)iyval;
A11 += (f32)(ixval*ixval);
A12 += (f32)(ixval*iyval);
A22 += (f32)(iyval*iyval);
}
}
f32 A11buf[2], A12buf[2], A22buf[2];
vst1_f32(A11buf, vadd_f32(vget_low_f32(vA11), vget_high_f32(vA11)));
vst1_f32(A12buf, vadd_f32(vget_low_f32(vA12), vget_high_f32(vA12)));
vst1_f32(A22buf, vadd_f32(vget_low_f32(vA22), vget_high_f32(vA22)));
A11 += A11buf[0] + A11buf[1];
A12 += A12buf[0] + A12buf[1];
A22 += A22buf[0] + A22buf[1];
A11 *= FLT_SCALE;
A12 *= FLT_SCALE;
A22 *= FLT_SCALE;
f32 D = A11*A22 - A12*A12;
f32 minEig = (A22 + A11 - std::sqrt((A11-A22)*(A11-A22) +
4.f*A12*A12))/(2*winSize.width*winSize.height);
if( err && getMinEigenVals )
err[ptidx] = (f32)minEig;
if( minEig < minEigThreshold || D < FLT_EPSILON )
{
if( status )
status[ptidx] = false;
continue;
}
D = 1.f/D;
nextPtX -= halfWinX;
nextPtY -= halfWinY;
f32 prevDeltaX = 0;
f32 prevDeltaY = 0;
for(u32 j = 0; j < terminationCount; j++ )
{
inextPtX = floor(nextPtX);
inextPtY = floor(nextPtY);
if( inextPtX < -(s32)winSize.width || inextPtX >= (s32)size.width ||
inextPtY < -(s32)winSize.height || inextPtY >= (s32)size.height )
{
if( status )
status[ptidx] = false;
break;
}
a = nextPtX - inextPtX;
b = nextPtY - inextPtY;
iw00 = round((1.f - a)*(1.f - b)*(1 << W_BITS));
iw01 = round(a*(1.f - b)*(1 << W_BITS));
iw10 = round((1.f - a)*b*(1 << W_BITS));
iw11 = (1 << W_BITS) - iw00 - iw01 - iw10;
f32 b1 = 0, b2 = 0;
viw00 = vmov_n_s16((s16)iw00);
viw01 = vmov_n_s16((s16)iw01);
viw10 = vmov_n_s16((s16)iw10);
viw11 = vmov_n_s16((s16)iw11);
float32x4_t vb1 = vmovq_n_f32(0);
float32x4_t vb2 = vmovq_n_f32(0);
for(s32 y = 0; y < (s32)winSize.height; y++ )
{
const u8* Jptr = nextData + nextStride*(y + inextPtY) + inextPtX*cn;
const s16* Iptr = IWinBuf + y*IWinBufStride;
const s16* dIptr = derivIWinBuf + y*derivIWinBufStride;
x = 0;
internal::prefetch(Jptr, nextStride * 2);
internal::prefetch(Iptr, IWinBufStride/2);
internal::prefetch(dIptr, derivIWinBufStride/2);
for( ; x <= wwcn - 8; x += 8, dIptr += 8*2 )
{
uint8x8_t vj00 = vld1_u8(Jptr + x);
uint8x8_t vj10 = vld1_u8(Jptr + x + nextStride);
uint8x8_t vj01 = vld1_u8(Jptr + x + cn);
uint8x8_t vj11 = vld1_u8(Jptr + x + nextStride + cn);
int16x8_t vI = vld1q_s16(Iptr + x);
int16x8x2_t vDerivI = vld2q_s16(dIptr);
int16x8_t vs00 = vreinterpretq_s16_u16(vmovl_u8(vj00));
int16x8_t vs10 = vreinterpretq_s16_u16(vmovl_u8(vj10));
int16x8_t vs01 = vreinterpretq_s16_u16(vmovl_u8(vj01));
int16x8_t vs11 = vreinterpretq_s16_u16(vmovl_u8(vj11));
int32x4_t vsuml = vmull_s16(vget_low_s16(vs00), viw00);
int32x4_t vsumh = vmull_s16(vget_high_s16(vs10), viw10);
vsuml = vmlal_s16(vsuml, vget_low_s16(vs01), viw01);
vsumh = vmlal_s16(vsumh, vget_high_s16(vs11), viw11);
vsuml = vmlal_s16(vsuml, vget_low_s16(vs10), viw10);
vsumh = vmlal_s16(vsumh, vget_high_s16(vs00), viw00);
vsuml = vmlal_s16(vsuml, vget_low_s16(vs11), viw11);
vsumh = vmlal_s16(vsumh, vget_high_s16(vs01), viw01);
int16x4_t vsumnl = vrshrn_n_s32(vsuml, W_BITS1-5);
int16x4_t vsumnh = vrshrn_n_s32(vsumh, W_BITS1-5);
int16x8_t diff = vqsubq_s16(vcombine_s16(vsumnl, vsumnh), vI);
int32x4_t vb1l = vmull_s16(vget_low_s16(diff), vget_low_s16(vDerivI.val[0]));
int32x4_t vb2h = vmull_s16(vget_high_s16(diff), vget_high_s16(vDerivI.val[1]));
int32x4_t vb1i = vmlal_s16(vb1l, vget_high_s16(diff), vget_high_s16(vDerivI.val[0]));
int32x4_t vb2i = vmlal_s16(vb2h, vget_low_s16(diff), vget_low_s16(vDerivI.val[1]));
float32x4_t vb1f = vcvtq_f32_s32(vb1i);
float32x4_t vb2f = vcvtq_f32_s32(vb2i);
vb1 = vaddq_f32(vb1, vb1f);
vb2 = vaddq_f32(vb2, vb2f);
}
for( ; x < wwcn; x++, dIptr += 2 )
{
s32 diff = CV_DESCALE(Jptr[x]*iw00 + Jptr[x+cn]*iw01 +
Jptr[x+nextStride]*iw10 + Jptr[x+nextStride+cn]*iw11,
W_BITS1-5) - Iptr[x];
b1 += (f32)(diff*dIptr[0]);
b2 += (f32)(diff*dIptr[1]);
}
}
f32 bbuf[2];
float32x2_t vb = vpadd_f32(vadd_f32(vget_low_f32(vb1), vget_high_f32(vb1)), vadd_f32(vget_low_f32(vb2), vget_high_f32(vb2)));
vst1_f32(bbuf, vb);
b1 += bbuf[0];
b2 += bbuf[1];
b1 *= FLT_SCALE;
b2 *= FLT_SCALE;
f32 deltaX = (f32)((A12*b2 - A22*b1) * D);
f32 deltaY = (f32)((A12*b1 - A11*b2) * D);
nextPtX += deltaX;
nextPtY += deltaY;
nextPts[ptref+0] = nextPtX + halfWinX;
nextPts[ptref+1] = nextPtY + halfWinY;
if( ((double)deltaX*deltaX + (double)deltaY*deltaY) <= terminationEpsilon )
break;
if( j > 0 && std::abs(deltaX + prevDeltaX) < 0.01 &&
std::abs(deltaY + prevDeltaY) < 0.01 )
{
nextPts[ptref+0] -= deltaX*0.5f;
nextPts[ptref+1] -= deltaY*0.5f;
break;
}
prevDeltaX = deltaX;
prevDeltaY = deltaY;
}
if( status && status[ptidx] && err && !getMinEigenVals )
{
f32 nextPointX = nextPts[ptref+0] - halfWinX;
f32 nextPointY = nextPts[ptref+1] - halfWinY;
s32 inextPointX = floor(nextPointX);
s32 inextPointY = floor(nextPointY);
if( inextPointX < -(s32)winSize.width || inextPointX >= (s32)size.width ||
inextPointY < -(s32)winSize.height || inextPointY >= (s32)size.height )
{
if( status )
status[ptidx] = false;
continue;
}
f32 aa = nextPointX - inextPointX;
f32 bb = nextPointY - inextPointY;
iw00 = round((1.f - aa)*(1.f - bb)*(1 << W_BITS));
iw01 = round(aa*(1.f - bb)*(1 << W_BITS));
iw10 = round((1.f - aa)*bb*(1 << W_BITS));
iw11 = (1 << W_BITS) - iw00 - iw01 - iw10;
f32 errval = 0.f;
for(s32 y = 0; y < (s32)winSize.height; y++ )
{
const u8* Jptr = nextData + nextStride*(y + inextPointY) + inextPointX*cn;
const s16* Iptr = IWinBuf + y*IWinBufStride;
for( x = 0; x < wwcn; x++ )
{
s32 diff = CV_DESCALE(Jptr[x]*iw00 + Jptr[x+cn]*iw01 +
Jptr[x+nextStride]*iw10 + Jptr[x+nextStride+cn]*iw11,
W_BITS1-5) - Iptr[x];
errval += std::abs((f32)diff);
}
}
err[ptidx] = errval / (32*wwcn*winSize.height);
}
}
#else
(void)size;
(void)cn;
(void)prevData;
(void)prevStride;
(void)prevDerivData;
(void)prevDerivStride;
(void)nextData;
(void)nextStride;
(void)prevPts;
(void)nextPts;
(void)status;
(void)err;
(void)winSize;
(void)terminationCount;
(void)terminationEpsilon;
(void)getMinEigenVals;
(void)minEigThreshold;
(void)ptCount;
#endif
}
}//CAROTENE_NS
+273
View File
@@ -0,0 +1,273 @@
/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2012-2015, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#include <cfloat>
#include <cmath>
#include "common.hpp"
#include "vround_helper.hpp"
namespace CAROTENE_NS {
#ifdef CAROTENE_NEON
namespace {
#define FASTATAN2CONST(scale) \
f32 P1((f32)( 0.9997878412794807 * (180.0 / M_PI) * scale)), \
P3((f32)(-0.3258083974640975 * (180.0 / M_PI) * scale)), \
P5((f32)( 0.1555786518463281 * (180.0 / M_PI) * scale)), \
P7((f32)(-0.04432655554792128 * (180.0 / M_PI) * scale)), \
A_90((f32)(90.f * scale)), \
A_180((f32)(180.f * scale)), \
A_360((f32)(360.f * scale)); \
float32x4_t eps(vdupq_n_f32((float)DBL_EPSILON)), \
_90(vdupq_n_f32(A_90)), \
_180(vdupq_n_f32(A_180)), \
_360(vdupq_n_f32(A_360)), \
z(vdupq_n_f32(0.0f)), \
p1(vdupq_n_f32(P1)), \
p3(vdupq_n_f32(P3)), \
p5(vdupq_n_f32(P5)), \
p7(vdupq_n_f32(P7));
#define FASTATAN2SCALAR(y, x, a) \
{ \
f32 ax = std::abs(x), ay = std::abs(y); \
f32 c, c2; \
if (ax >= ay) \
{ \
c = ay / (ax + (float)DBL_EPSILON); \
c2 = c * c; \
a = (((P7 * c2 + P5) * c2 + P3) * c2 + P1) * c; \
} \
else \
{ \
c = ax / (ay + (float)DBL_EPSILON); \
c2 = c * c; \
a = A_90 - (((P7 * c2 + P5) * c2 + P3) * c2 + P1) * c; \
} \
if (x < 0) \
a = A_180 - a; \
if (y < 0) \
a = A_360 - a; \
}
#define FASTATAN2VECTOR(v_y, v_x, a) \
{ \
float32x4_t ax = vabsq_f32(v_x), ay = vabsq_f32(v_y); \
float32x4_t tmin = vminq_f32(ax, ay), tmax = vmaxq_f32(ax, ay); \
float32x4_t c = vmulq_f32(tmin, internal::vrecpq_f32(vaddq_f32(tmax, eps))); \
float32x4_t c2 = vmulq_f32(c, c); \
a = vmulq_f32(c2, p7); \
\
a = vmulq_f32(vaddq_f32(a, p5), c2); \
a = vmulq_f32(vaddq_f32(a, p3), c2); \
a = vmulq_f32(vaddq_f32(a, p1), c); \
\
a = vbslq_f32(vcgeq_f32(ax, ay), a, vsubq_f32(_90, a)); \
a = vbslq_f32(vcltq_f32(v_x, z), vsubq_f32(_180, a), a); \
a = vbslq_f32(vcltq_f32(v_y, z), vsubq_f32(_360, a), a); \
\
}
} // namespace
#endif
void phase(const Size2D &size,
const s16 * src0Base, ptrdiff_t src0Stride,
const s16 * src1Base, ptrdiff_t src1Stride,
u8 * dstBase, ptrdiff_t dstStride)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
FASTATAN2CONST(256.0f / 360.0f)
size_t roiw16 = size.width >= 15 ? size.width - 15 : 0;
size_t roiw8 = size.width >= 7 ? size.width - 7 : 0;
for (size_t i = 0; i < size.height; ++i)
{
const s16 * src0 = internal::getRowPtr(src0Base, src0Stride, i);
const s16 * src1 = internal::getRowPtr(src1Base, src1Stride, i);
u8 * dst = internal::getRowPtr(dstBase, dstStride, i);
size_t j = 0;
for (; j < roiw16; j += 16)
{
internal::prefetch(src0 + j);
internal::prefetch(src1 + j);
int16x8_t v_src00 = vld1q_s16(src0 + j), v_src01 = vld1q_s16(src0 + j + 8);
int16x8_t v_src10 = vld1q_s16(src1 + j), v_src11 = vld1q_s16(src1 + j + 8);
// 0
float32x4_t v_src0_p = vcvtq_f32_s32(vmovl_s16(vget_low_s16(v_src00)));
float32x4_t v_src1_p = vcvtq_f32_s32(vmovl_s16(vget_low_s16(v_src10)));
float32x4_t v_dst32f0;
FASTATAN2VECTOR(v_src1_p, v_src0_p, v_dst32f0)
v_src0_p = vcvtq_f32_s32(vmovl_s16(vget_high_s16(v_src00)));
v_src1_p = vcvtq_f32_s32(vmovl_s16(vget_high_s16(v_src10)));
float32x4_t v_dst32f1;
FASTATAN2VECTOR(v_src1_p, v_src0_p, v_dst32f1)
uint16x8_t v_dst16s0 = vcombine_u16(vmovn_u32(internal::vroundq_u32_f32(v_dst32f0)),
vmovn_u32(internal::vroundq_u32_f32(v_dst32f1)));
// 1
v_src0_p = vcvtq_f32_s32(vmovl_s16(vget_low_s16(v_src01)));
v_src1_p = vcvtq_f32_s32(vmovl_s16(vget_low_s16(v_src11)));
FASTATAN2VECTOR(v_src1_p, v_src0_p, v_dst32f0)
v_src0_p = vcvtq_f32_s32(vmovl_s16(vget_high_s16(v_src01)));
v_src1_p = vcvtq_f32_s32(vmovl_s16(vget_high_s16(v_src11)));
FASTATAN2VECTOR(v_src1_p, v_src0_p, v_dst32f1)
uint16x8_t v_dst16s1 = vcombine_u16(vmovn_u32(internal::vroundq_u32_f32(v_dst32f0)),
vmovn_u32(internal::vroundq_u32_f32(v_dst32f1)));
vst1q_u8(dst + j, vcombine_u8(vmovn_u16(v_dst16s0),
vmovn_u16(v_dst16s1)));
}
for (; j < roiw8; j += 8)
{
int16x8_t v_src0 = vld1q_s16(src0 + j);
int16x8_t v_src1 = vld1q_s16(src1 + j);
float32x4_t v_src0_p = vcvtq_f32_s32(vmovl_s16(vget_low_s16(v_src0)));
float32x4_t v_src1_p = vcvtq_f32_s32(vmovl_s16(vget_low_s16(v_src1)));
float32x4_t v_dst32f0;
FASTATAN2VECTOR(v_src1_p, v_src0_p, v_dst32f0)
v_src0_p = vcvtq_f32_s32(vmovl_s16(vget_high_s16(v_src0)));
v_src1_p = vcvtq_f32_s32(vmovl_s16(vget_high_s16(v_src1)));
float32x4_t v_dst32f1;
FASTATAN2VECTOR(v_src1_p, v_src0_p, v_dst32f1)
uint16x8_t v_dst = vcombine_u16(vmovn_u32(internal::vroundq_u32_f32(v_dst32f0)),
vmovn_u32(internal::vroundq_u32_f32(v_dst32f1)));
vst1_u8(dst + j, vmovn_u16(v_dst));
}
for (; j < size.width; j++)
{
f32 x = src0[j], y = src1[j];
f32 a;
FASTATAN2SCALAR(y, x, a)
dst[j] = (u8)(s32)floor(a + 0.5f);
}
}
#else
(void)size;
(void)src0Base;
(void)src0Stride;
(void)src1Base;
(void)src1Stride;
(void)dstBase;
(void)dstStride;
#endif
}
void phase(const Size2D &size,
const f32 * src0Base, ptrdiff_t src0Stride,
const f32 * src1Base, ptrdiff_t src1Stride,
f32 * dstBase, ptrdiff_t dstStride,
f32 scale)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
FASTATAN2CONST(scale)
size_t roiw8 = size.width >= 7 ? size.width - 7 : 0;
for (size_t i = 0; i < size.height; ++i)
{
const f32 * src0 = internal::getRowPtr(src0Base, src0Stride, i);
const f32 * src1 = internal::getRowPtr(src1Base, src1Stride, i);
f32 * dst = internal::getRowPtr(dstBase, dstStride, i);
size_t j = 0;
for (; j < roiw8; j += 8)
{
internal::prefetch(src0 + j);
internal::prefetch(src1 + j);
float32x4_t v_src00 = vld1q_f32(src0 + j), v_src01 = vld1q_f32(src0 + j + 4);
float32x4_t v_src10 = vld1q_f32(src1 + j), v_src11 = vld1q_f32(src1 + j + 4);
float32x4_t v_dst32f;
// 0
FASTATAN2VECTOR(v_src10, v_src00, v_dst32f)
vst1q_f32(dst + j, v_dst32f);
// 1
FASTATAN2VECTOR(v_src11, v_src01, v_dst32f)
vst1q_f32(dst + j + 4, v_dst32f);
}
if(j + 4 <= size.width)
{
float32x4_t v_src0 = vld1q_f32(src0 + j);
float32x4_t v_src1 = vld1q_f32(src1 + j);
float32x4_t v_dst32f;
FASTATAN2VECTOR(v_src1, v_src0, v_dst32f)
vst1q_f32(dst + j, v_dst32f);
j += 4;
}
for (; j < size.width; j++)
{
f32 a;
FASTATAN2SCALAR(src1[j], src0[j], a)
dst[j] = a;
}
}
#else
(void)size;
(void)src0Base;
(void)src0Stride;
(void)src1Base;
(void)src1Stride;
(void)dstBase;
(void)dstStride;
(void)scale;
#endif
}
} // namespace CAROTENE_NS
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/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2012-2015, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#include "common.hpp"
#include <cstring>
namespace CAROTENE_NS {
void reduceColSum(const Size2D &size,
const u8 * srcBase, ptrdiff_t srcStride,
s32 * dstBase)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
memset(dstBase, 0, size.width*sizeof(s32));
size_t i = 0;
for (; i + 16 <= size.width; i += 16)
{
const u8* src_address = srcBase + i;
int32x4_t sll = vmovq_n_s32(0);
int32x4_t slh = vmovq_n_s32(0);
int32x4_t shl = vmovq_n_s32(0);
int32x4_t shh = vmovq_n_s32(0);
for (size_t h = 0; h < size.height; h += 256)
{
size_t lim = std::min(h + 256, size.height);
uint16x8_t sl = vmovq_n_u16(0);
uint16x8_t sh = vmovq_n_u16(0);
for (size_t k = h; k < lim; ++k, src_address += srcStride)
{
internal::prefetch(src_address + srcStride, 0);
uint8x16_t v = vld1q_u8(src_address);
sl = vaddw_u8(sl, vget_low_u8(v));
sh = vaddw_u8(sh, vget_high_u8(v));
}
int32x4_t vsll = vreinterpretq_s32_u32(vmovl_u16(vget_low_u16(sl)));
int32x4_t vslh = vreinterpretq_s32_u32(vmovl_u16(vget_high_u16(sl)));
int32x4_t vshl = vreinterpretq_s32_u32(vmovl_u16(vget_low_u16(sh)));
int32x4_t vshh = vreinterpretq_s32_u32(vmovl_u16(vget_high_u16(sh)));
sll = vqaddq_s32(sll, vsll);
slh = vqaddq_s32(slh, vslh);
shl = vqaddq_s32(shl, vshl);
shh = vqaddq_s32(shh, vshh);
}
vst1q_s32(dstBase + i + 0, sll);
vst1q_s32(dstBase + i + 4, slh);
vst1q_s32(dstBase + i + 8, shl);
vst1q_s32(dstBase + i + 12, shh);
}
for(size_t h = 0; h < size.height; ++h)
{
for(size_t j = i ; j < size.width; j++ )
{
if (((u32)(dstBase[j] += srcBase[j + srcStride * h])) > 0x7fFFffFFu)
dstBase[j] = 0x7fFFffFF;
}
}
#else
(void)size;
(void)srcBase;
(void)srcStride;
(void)dstBase;
#endif
}
void reduceColMax(const Size2D &size,
const u8 * srcBase, ptrdiff_t srcStride,
u8 * dstBase)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
memcpy(dstBase, srcBase, size.width);
size_t i = 0;
for (; i + 16*4 <= size.width; i += 16*4)
{
const u8* src_address = srcBase + i;
uint8x16_t s1 = vld1q_u8(src_address + 0);
uint8x16_t s2 = vld1q_u8(src_address + 16);
uint8x16_t s3 = vld1q_u8(src_address + 32);
uint8x16_t s4 = vld1q_u8(src_address + 48);
src_address += srcStride;
for(size_t h = 1; h < size.height; ++h, src_address += srcStride)
{
internal::prefetch(src_address + srcStride, 0);
internal::prefetch(src_address + srcStride, 32);
uint8x16_t v1 = vld1q_u8(src_address + 0);
uint8x16_t v2 = vld1q_u8(src_address + 16);
uint8x16_t v3 = vld1q_u8(src_address + 32);
uint8x16_t v4 = vld1q_u8(src_address + 48);
s1 = vmaxq_u8(s1, v1);
s2 = vmaxq_u8(s2, v2);
s3 = vmaxq_u8(s3, v3);
s4 = vmaxq_u8(s4, v4);
}
vst1q_u8(dstBase + i + 0, s1);
vst1q_u8(dstBase + i + 16, s2);
vst1q_u8(dstBase + i + 32, s3);
vst1q_u8(dstBase + i + 48, s4);
}
for (; i + 16 <= size.width; i += 16)
{
const u8* src_address = srcBase + i;
uint8x16_t s1 = vld1q_u8(src_address);
src_address += srcStride;
for(size_t h = 1; h < size.height; ++h, src_address += srcStride)
{
internal::prefetch(src_address + srcStride, 0);
uint8x16_t v1 = vld1q_u8(src_address);
s1 = vmaxq_u8(s1, v1);
}
vst1q_u8(dstBase + i, s1);
}
if (i < size.width)
for(size_t h = 1; h < size.height; ++h)
for(size_t j = i ; j < size.width; j++ )
dstBase[j] = std::max(dstBase[j], srcBase[j + srcStride * h]);
#else
(void)size;
(void)srcBase;
(void)srcStride;
(void)dstBase;
#endif
}
void reduceColMin(const Size2D &size,
const u8 * srcBase, ptrdiff_t srcStride,
u8 * dstBase)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
memcpy(dstBase, srcBase, size.width);
size_t i = 0;
for (; i + 16*4 <= size.width; i += 16*4)
{
const u8* src_address = srcBase + i;
uint8x16_t s1 = vld1q_u8(src_address + 0);
uint8x16_t s2 = vld1q_u8(src_address + 16);
uint8x16_t s3 = vld1q_u8(src_address + 32);
uint8x16_t s4 = vld1q_u8(src_address + 48);
src_address += srcStride;
for(size_t h = 1; h < size.height; ++h, src_address += srcStride)
{
internal::prefetch(src_address + srcStride, 0);
internal::prefetch(src_address + srcStride, 32);
uint8x16_t v1 = vld1q_u8(src_address + 0);
uint8x16_t v2 = vld1q_u8(src_address + 16);
uint8x16_t v3 = vld1q_u8(src_address + 32);
uint8x16_t v4 = vld1q_u8(src_address + 48);
s1 = vminq_u8(s1, v1);
s2 = vminq_u8(s2, v2);
s3 = vminq_u8(s3, v3);
s4 = vminq_u8(s4, v4);
}
vst1q_u8(dstBase + i + 0, s1);
vst1q_u8(dstBase + i + 16, s2);
vst1q_u8(dstBase + i + 32, s3);
vst1q_u8(dstBase + i + 48, s4);
}
for (; i + 16 <= size.width; i += 16)
{
const u8* src_address = srcBase + i;
uint8x16_t s1 = vld1q_u8(src_address);
src_address += srcStride;
for(size_t h = 1; h < size.height; ++h, src_address += srcStride)
{
internal::prefetch(src_address + srcStride, 0);
uint8x16_t v1 = vld1q_u8(src_address);
s1 = vminq_u8(s1, v1);
}
vst1q_u8(dstBase + i, s1);
}
if (i < size.width)
for(size_t h = 1; h < size.height; ++h)
for(size_t j = i ; j < size.width; j++ )
dstBase[j] = std::min(dstBase[j], srcBase[j + srcStride * h]);
#else
(void)size;
(void)srcBase;
(void)srcStride;
(void)dstBase;
#endif
}
void reduceColSum(const Size2D &size,
const f32 * srcBase, ptrdiff_t srcStride,
f32 * dstBase)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
memcpy(dstBase, srcBase, size.width*sizeof(f32));
size_t srcstep = srcStride/sizeof(f32);
size_t i = 0;
for (; i + 16 <= size.width; i += 16)
{
const f32* src_address = srcBase + i;
float32x4_t s1 = vld1q_f32(src_address + 0);
float32x4_t s2 = vld1q_f32(src_address + 4);
float32x4_t s3 = vld1q_f32(src_address + 8);
float32x4_t s4 = vld1q_f32(src_address + 12);
src_address += srcstep;
for(size_t h = 1; h < size.height; ++h, src_address += srcstep)
{
internal::prefetch(src_address + srcstep, 0);
internal::prefetch(src_address + srcstep, 32);
float32x4_t v1 = vld1q_f32(src_address + 0);
float32x4_t v2 = vld1q_f32(src_address + 4);
float32x4_t v3 = vld1q_f32(src_address + 8);
float32x4_t v4 = vld1q_f32(src_address + 12);
s1 = vaddq_f32(s1, v1);
s2 = vaddq_f32(s2, v2);
s3 = vaddq_f32(s3, v3);
s4 = vaddq_f32(s4, v4);
}
vst1q_f32(dstBase + i + 0, s1);
vst1q_f32(dstBase + i + 4, s2);
vst1q_f32(dstBase + i + 8, s3);
vst1q_f32(dstBase + i + 12, s4);
}
for (; i + 4 <= size.width; i += 4)
{
const f32* src_address = srcBase + i;
float32x4_t s1 = vld1q_f32(src_address);
src_address += srcstep;
for(size_t h = 1; h < size.height; ++h, src_address += srcstep)
{
internal::prefetch(src_address + srcstep, 0);
float32x4_t v1 = vld1q_f32(src_address);
s1 = vaddq_f32(s1, v1);
}
vst1q_f32(dstBase + i, s1);
}
if (i < size.width)
for(size_t h = 1; h < size.height; ++h)
{
for(size_t j = i ; j < size.width; j++ )
{
dstBase[j] += srcBase[j + srcstep * h];
}
}
#else
(void)size;
(void)srcBase;
(void)srcStride;
(void)dstBase;
#endif
}
void reduceColMax(const Size2D &size,
const f32 * srcBase, ptrdiff_t srcStride,
f32 * dstBase)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
memcpy(dstBase, srcBase, size.width*sizeof(f32));
size_t srcstep = srcStride/sizeof(f32);
size_t i = 0;
for (; i + 16 <= size.width; i += 16)
{
const f32* src_address = srcBase + i;
float32x4_t s1 = vld1q_f32(src_address + 0);
float32x4_t s2 = vld1q_f32(src_address + 4);
float32x4_t s3 = vld1q_f32(src_address + 8);
float32x4_t s4 = vld1q_f32(src_address + 12);
src_address += srcstep;
for(size_t h = 1; h < size.height; ++h, src_address += srcstep)
{
internal::prefetch(src_address + srcstep, 0);
internal::prefetch(src_address + srcstep, 32);
float32x4_t v1 = vld1q_f32(src_address + 0);
float32x4_t v2 = vld1q_f32(src_address + 4);
float32x4_t v3 = vld1q_f32(src_address + 8);
float32x4_t v4 = vld1q_f32(src_address + 12);
s1 = vmaxq_f32(s1, v1);
s2 = vmaxq_f32(s2, v2);
s3 = vmaxq_f32(s3, v3);
s4 = vmaxq_f32(s4, v4);
}
vst1q_f32(dstBase + i + 0, s1);
vst1q_f32(dstBase + i + 4, s2);
vst1q_f32(dstBase + i + 8, s3);
vst1q_f32(dstBase + i + 12, s4);
}
for (; i + 4 <= size.width; i += 4)
{
const f32* src_address = srcBase + i;
float32x4_t s1 = vld1q_f32(src_address);
src_address += srcstep;
for(size_t h = 1; h < size.height; ++h, src_address += srcstep)
{
internal::prefetch(src_address + srcstep, 0);
float32x4_t v1 = vld1q_f32(src_address);
s1 = vmaxq_f32(s1, v1);
}
vst1q_f32(dstBase + i, s1);
}
if (i < size.width)
for(size_t h = 1; h < size.height; ++h)
for(size_t j = i ; j < size.width; j++ )
dstBase[j] = std::max(dstBase[j], srcBase[j + srcstep * h]);
#else
(void)size;
(void)srcBase;
(void)srcStride;
(void)dstBase;
#endif
}
void reduceColMin(const Size2D &size,
const f32 * srcBase, ptrdiff_t srcStride,
f32 * dstBase)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
memcpy(dstBase, srcBase, size.width*sizeof(f32));
size_t srcstep = srcStride/sizeof(f32);
size_t i = 0;
for (; i + 16 <= size.width; i += 16)
{
const f32* src_address = srcBase + i;
float32x4_t s1 = vld1q_f32(src_address + 0);
float32x4_t s2 = vld1q_f32(src_address + 4);
float32x4_t s3 = vld1q_f32(src_address + 8);
float32x4_t s4 = vld1q_f32(src_address + 12);
src_address += srcstep;
for(size_t h = 1; h < size.height; ++h, src_address += srcstep)
{
internal::prefetch(src_address + srcstep, 0);
internal::prefetch(src_address + srcstep, 32);
float32x4_t v1 = vld1q_f32(src_address + 0);
float32x4_t v2 = vld1q_f32(src_address + 4);
float32x4_t v3 = vld1q_f32(src_address + 8);
float32x4_t v4 = vld1q_f32(src_address + 12);
s1 = vminq_f32(s1, v1);
s2 = vminq_f32(s2, v2);
s3 = vminq_f32(s3, v3);
s4 = vminq_f32(s4, v4);
}
vst1q_f32(dstBase + i + 0, s1);
vst1q_f32(dstBase + i + 4, s2);
vst1q_f32(dstBase + i + 8, s3);
vst1q_f32(dstBase + i + 12, s4);
}
for (; i + 4 <= size.width; i += 4)
{
const f32* src_address = srcBase + i;
float32x4_t s1 = vld1q_f32(src_address);
src_address += srcstep;
for(size_t h = 1; h < size.height; ++h, src_address += srcstep)
{
internal::prefetch(src_address + srcstep, 0);
float32x4_t v1 = vld1q_f32(src_address);
s1 = vminq_f32(s1, v1);
}
vst1q_f32(dstBase + i, s1);
}
if (i < size.width)
for(size_t h = 1; h < size.height; ++h)
for(size_t j = i ; j < size.width; j++ )
dstBase[j] = std::min(dstBase[j], srcBase[j + srcstep * h]);
#else
(void)size;
(void)srcBase;
(void)srcStride;
(void)dstBase;
#endif
}
} // namespace CAROTENE_NS
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/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2015, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#include "remap.hpp"
namespace CAROTENE_NS {
#ifdef CAROTENE_NEON
namespace internal {
void remapNearestNeighborReplicate(const Size2D size,
const u8 * srcBase,
const s32 * map,
u8 * dstBase, ptrdiff_t dstStride)
{
for (size_t y = 0; y < size.height; ++y)
{
const s32 * map_row = internal::getRowPtr(map, size.width * sizeof(s32), y);
u8 * dst_row = internal::getRowPtr(dstBase, dstStride, y);
for (size_t x = 0; x < size.width; ++x)
{
dst_row[x] = srcBase[map_row[x]];
}
}
}
void remapNearestNeighborConst(const Size2D size,
const u8 * srcBase,
const s32 * map,
u8 * dstBase, ptrdiff_t dstStride,
u8 borderValue)
{
for (size_t y = 0; y < size.height; ++y)
{
const s32 * map_row = internal::getRowPtr(map, size.width * sizeof(s32), y);
u8 * dst_row = internal::getRowPtr(dstBase, dstStride, y);
for (size_t x = 0; x < size.width; ++x)
{
s32 src_idx = map_row[x];
dst_row[x] = src_idx >= 0 ? srcBase[map_row[x]] : borderValue;
}
}
}
void remapLinearReplicate(const Size2D size,
const u8 * srcBase,
const s32 * map,
const f32 * coeffs,
u8 * dstBase, ptrdiff_t dstStride)
{
int16x8_t v_zero16 = vdupq_n_s16(0);
for (size_t y = 0; y < size.height; ++y)
{
const s32 * map_row = internal::getRowPtr(map, size.width * sizeof(s32) * 4, y);
const f32 * coeff_row = internal::getRowPtr(coeffs, size.width * sizeof(f32) * 2, y);
u8 * dst_row = internal::getRowPtr(dstBase, dstStride, y);
size_t x = 0;
for ( ; x + 8 < size.width; x += 8)
{
int16x8_t v_src00 = vsetq_lane_s16(srcBase[map_row[(x << 2)]], v_zero16, 0);
v_src00 = vsetq_lane_s16(srcBase[map_row[(x << 2) + 4]], v_src00, 1);
v_src00 = vsetq_lane_s16(srcBase[map_row[(x << 2) + 8]], v_src00, 2);
v_src00 = vsetq_lane_s16(srcBase[map_row[(x << 2) + 12]], v_src00, 3);
v_src00 = vsetq_lane_s16(srcBase[map_row[(x << 2) + 16]], v_src00, 4);
v_src00 = vsetq_lane_s16(srcBase[map_row[(x << 2) + 20]], v_src00, 5);
v_src00 = vsetq_lane_s16(srcBase[map_row[(x << 2) + 24]], v_src00, 6);
v_src00 = vsetq_lane_s16(srcBase[map_row[(x << 2) + 28]], v_src00, 7);
int16x8_t v_src01 = vsetq_lane_s16(srcBase[map_row[(x << 2) + 1]], v_zero16, 0);
v_src01 = vsetq_lane_s16(srcBase[map_row[(x << 2) + 5]], v_src01, 1);
v_src01 = vsetq_lane_s16(srcBase[map_row[(x << 2) + 9]], v_src01, 2);
v_src01 = vsetq_lane_s16(srcBase[map_row[(x << 2) + 13]], v_src01, 3);
v_src01 = vsetq_lane_s16(srcBase[map_row[(x << 2) + 17]], v_src01, 4);
v_src01 = vsetq_lane_s16(srcBase[map_row[(x << 2) + 21]], v_src01, 5);
v_src01 = vsetq_lane_s16(srcBase[map_row[(x << 2) + 25]], v_src01, 6);
v_src01 = vsetq_lane_s16(srcBase[map_row[(x << 2) + 29]], v_src01, 7);
int16x8_t v_src10 = vsetq_lane_s16(srcBase[map_row[(x << 2) + 2]], v_zero16, 0);
v_src10 = vsetq_lane_s16(srcBase[map_row[(x << 2) + 6]], v_src10, 1);
v_src10 = vsetq_lane_s16(srcBase[map_row[(x << 2) + 10]], v_src10, 2);
v_src10 = vsetq_lane_s16(srcBase[map_row[(x << 2) + 14]], v_src10, 3);
v_src10 = vsetq_lane_s16(srcBase[map_row[(x << 2) + 18]], v_src10, 4);
v_src10 = vsetq_lane_s16(srcBase[map_row[(x << 2) + 22]], v_src10, 5);
v_src10 = vsetq_lane_s16(srcBase[map_row[(x << 2) + 26]], v_src10, 6);
v_src10 = vsetq_lane_s16(srcBase[map_row[(x << 2) + 30]], v_src10, 7);
int16x8_t v_src11 = vsetq_lane_s16(srcBase[map_row[(x << 2) + 3]], v_zero16, 0);
v_src11 = vsetq_lane_s16(srcBase[map_row[(x << 2) + 7]], v_src11, 1);
v_src11 = vsetq_lane_s16(srcBase[map_row[(x << 2) + 11]], v_src11, 2);
v_src11 = vsetq_lane_s16(srcBase[map_row[(x << 2) + 15]], v_src11, 3);
v_src11 = vsetq_lane_s16(srcBase[map_row[(x << 2) + 19]], v_src11, 4);
v_src11 = vsetq_lane_s16(srcBase[map_row[(x << 2) + 23]], v_src11, 5);
v_src11 = vsetq_lane_s16(srcBase[map_row[(x << 2) + 27]], v_src11, 6);
v_src11 = vsetq_lane_s16(srcBase[map_row[(x << 2) + 31]], v_src11, 7);
// first part
float32x4_t v_src00_f = vcvtq_f32_s32(vmovl_s16(vget_low_s16(v_src00)));
float32x4_t v_src10_f = vcvtq_f32_s32(vmovl_s16(vget_low_s16(v_src10)));
float32x4x2_t v_coeff = vld2q_f32(coeff_row + (x << 1));
float32x4_t v_dst_0 = vmlaq_f32(v_src00_f, vcvtq_f32_s32(vsubl_s16(vget_low_s16(v_src01),
vget_low_s16(v_src00))), v_coeff.val[0]);
float32x4_t v_dst_1 = vmlaq_f32(v_src10_f, vcvtq_f32_s32(vsubl_s16(vget_low_s16(v_src11),
vget_low_s16(v_src10))), v_coeff.val[0]);
float32x4_t v_dst = vmlaq_f32(v_dst_0, vsubq_f32(v_dst_1, v_dst_0), v_coeff.val[1]);
uint16x4_t v_dst0 = vmovn_u32(vcvtq_u32_f32(v_dst));
// second part
v_src00_f = vcvtq_f32_s32(vmovl_s16(vget_high_s16(v_src00)));
v_src10_f = vcvtq_f32_s32(vmovl_s16(vget_high_s16(v_src10)));
v_coeff = vld2q_f32(coeff_row + (x << 1) + 8);
v_dst_0 = vmlaq_f32(v_src00_f, vcvtq_f32_s32(vsubl_s16(vget_high_s16(v_src01),
vget_high_s16(v_src00))), v_coeff.val[0]);
v_dst_1 = vmlaq_f32(v_src10_f, vcvtq_f32_s32(vsubl_s16(vget_high_s16(v_src11),
vget_high_s16(v_src10))), v_coeff.val[0]);
v_dst = vmlaq_f32(v_dst_0, vsubq_f32(v_dst_1, v_dst_0), v_coeff.val[1]);
uint16x4_t v_dst1 = vmovn_u32(vcvtq_u32_f32(v_dst));
// store
vst1_u8(dst_row + x, vmovn_u16(vcombine_u16(v_dst0, v_dst1)));
}
for ( ; x < size.width; ++x)
{
s32 src00_index = map_row[(x << 2)];
s32 src10_index = map_row[(x << 2) + 2];
f32 dst_val_0 = (srcBase[map_row[(x << 2) + 1]] - srcBase[src00_index]) * coeff_row[x << 1] +
srcBase[src00_index];
f32 dst_val_1 = (srcBase[map_row[(x << 2) + 3]] - srcBase[src10_index]) * coeff_row[x << 1] +
srcBase[src10_index];
dst_row[x] = floorf((dst_val_1 - dst_val_0) * coeff_row[(x << 1) + 1] + dst_val_0);
}
}
}
void remapLinearConst(const Size2D size,
const u8 * srcBase,
const s32 * map,
const f32 * coeffs,
u8 * dstBase, ptrdiff_t dstStride,
u8 borderValue)
{
int16x8_t v_zero16 = vdupq_n_s16(0);
for (size_t y = 0; y < size.height; ++y)
{
const s32 * map_row = internal::getRowPtr(map, size.width * sizeof(s32) * 4, y);
const f32 * coeff_row = internal::getRowPtr(coeffs, size.width * sizeof(f32) * 2, y);
u8 * dst_row = internal::getRowPtr(dstBase, dstStride, y);
size_t x = 0;
for ( ; x + 8 < size.width; x += 8)
{
int16x8_t v_src00 = vsetq_lane_s16(map_row[(x << 2)] >= 0 ? srcBase[map_row[(x << 2)]] : borderValue, v_zero16, 0);
v_src00 = vsetq_lane_s16(map_row[(x << 2) + 4] >= 0 ? srcBase[map_row[(x << 2) + 4]] : borderValue, v_src00, 1);
v_src00 = vsetq_lane_s16(map_row[(x << 2) + 8] >= 0 ? srcBase[map_row[(x << 2) + 8]] : borderValue, v_src00, 2);
v_src00 = vsetq_lane_s16(map_row[(x << 2) + 12] >= 0 ? srcBase[map_row[(x << 2) + 12]] : borderValue, v_src00, 3);
v_src00 = vsetq_lane_s16(map_row[(x << 2) + 16] >= 0 ? srcBase[map_row[(x << 2) + 16]] : borderValue, v_src00, 4);
v_src00 = vsetq_lane_s16(map_row[(x << 2) + 20] >= 0 ? srcBase[map_row[(x << 2) + 20]] : borderValue, v_src00, 5);
v_src00 = vsetq_lane_s16(map_row[(x << 2) + 24] >= 0 ? srcBase[map_row[(x << 2) + 24]] : borderValue, v_src00, 6);
v_src00 = vsetq_lane_s16(map_row[(x << 2) + 28] >= 0 ? srcBase[map_row[(x << 2) + 28]] : borderValue, v_src00, 7);
int16x8_t v_src01 = vsetq_lane_s16(map_row[(x << 2) + 1] >= 0 ? srcBase[map_row[(x << 2) + 1]] : borderValue, v_zero16, 0);
v_src01 = vsetq_lane_s16(map_row[(x << 2) + 5] >= 0 ? srcBase[map_row[(x << 2) + 5]] : borderValue, v_src01, 1);
v_src01 = vsetq_lane_s16(map_row[(x << 2) + 9] >= 0 ? srcBase[map_row[(x << 2) + 9]] : borderValue, v_src01, 2);
v_src01 = vsetq_lane_s16(map_row[(x << 2) + 13] >= 0 ? srcBase[map_row[(x << 2) + 13]] : borderValue, v_src01, 3);
v_src01 = vsetq_lane_s16(map_row[(x << 2) + 17] >= 0 ? srcBase[map_row[(x << 2) + 17]] : borderValue, v_src01, 4);
v_src01 = vsetq_lane_s16(map_row[(x << 2) + 21] >= 0 ? srcBase[map_row[(x << 2) + 21]] : borderValue, v_src01, 5);
v_src01 = vsetq_lane_s16(map_row[(x << 2) + 25] >= 0 ? srcBase[map_row[(x << 2) + 25]] : borderValue, v_src01, 6);
v_src01 = vsetq_lane_s16(map_row[(x << 2) + 29] >= 0 ? srcBase[map_row[(x << 2) + 29]] : borderValue, v_src01, 7);
int16x8_t v_src10 = vsetq_lane_s16(map_row[(x << 2) + 2] >= 0 ? srcBase[map_row[(x << 2) + 2]] : borderValue, v_zero16, 0);
v_src10 = vsetq_lane_s16(map_row[(x << 2) + 6] >= 0 ? srcBase[map_row[(x << 2) + 6]] : borderValue, v_src10, 1);
v_src10 = vsetq_lane_s16(map_row[(x << 2) + 10] >= 0 ? srcBase[map_row[(x << 2) + 10]] : borderValue, v_src10, 2);
v_src10 = vsetq_lane_s16(map_row[(x << 2) + 14] >= 0 ? srcBase[map_row[(x << 2) + 14]] : borderValue, v_src10, 3);
v_src10 = vsetq_lane_s16(map_row[(x << 2) + 18] >= 0 ? srcBase[map_row[(x << 2) + 18]] : borderValue, v_src10, 4);
v_src10 = vsetq_lane_s16(map_row[(x << 2) + 22] >= 0 ? srcBase[map_row[(x << 2) + 22]] : borderValue, v_src10, 5);
v_src10 = vsetq_lane_s16(map_row[(x << 2) + 26] >= 0 ? srcBase[map_row[(x << 2) + 26]] : borderValue, v_src10, 6);
v_src10 = vsetq_lane_s16(map_row[(x << 2) + 30] >= 0 ? srcBase[map_row[(x << 2) + 30]] : borderValue, v_src10, 7);
int16x8_t v_src11 = vsetq_lane_s16(map_row[(x << 2) + 3] >= 0 ? srcBase[map_row[(x << 2) + 3]] : borderValue, v_zero16, 0);
v_src11 = vsetq_lane_s16(map_row[(x << 2) + 7] >= 0 ? srcBase[map_row[(x << 2) + 7]] : borderValue, v_src11, 1);
v_src11 = vsetq_lane_s16(map_row[(x << 2) + 11] >= 0 ? srcBase[map_row[(x << 2) + 11]] : borderValue, v_src11, 2);
v_src11 = vsetq_lane_s16(map_row[(x << 2) + 15] >= 0 ? srcBase[map_row[(x << 2) + 15]] : borderValue, v_src11, 3);
v_src11 = vsetq_lane_s16(map_row[(x << 2) + 19] >= 0 ? srcBase[map_row[(x << 2) + 19]] : borderValue, v_src11, 4);
v_src11 = vsetq_lane_s16(map_row[(x << 2) + 23] >= 0 ? srcBase[map_row[(x << 2) + 23]] : borderValue, v_src11, 5);
v_src11 = vsetq_lane_s16(map_row[(x << 2) + 27] >= 0 ? srcBase[map_row[(x << 2) + 27]] : borderValue, v_src11, 6);
v_src11 = vsetq_lane_s16(map_row[(x << 2) + 31] >= 0 ? srcBase[map_row[(x << 2) + 31]] : borderValue, v_src11, 7);
// first part
float32x4_t v_src00_f = vcvtq_f32_s32(vmovl_s16(vget_low_s16(v_src00)));
float32x4_t v_src10_f = vcvtq_f32_s32(vmovl_s16(vget_low_s16(v_src10)));
float32x4x2_t v_coeff = vld2q_f32(coeff_row + (x << 1));
float32x4_t v_dst_0 = vmlaq_f32(v_src00_f, vcvtq_f32_s32(vsubl_s16(vget_low_s16(v_src01),
vget_low_s16(v_src00))), v_coeff.val[0]);
float32x4_t v_dst_1 = vmlaq_f32(v_src10_f, vcvtq_f32_s32(vsubl_s16(vget_low_s16(v_src11),
vget_low_s16(v_src10))), v_coeff.val[0]);
float32x4_t v_dst = vmlaq_f32(v_dst_0, vsubq_f32(v_dst_1, v_dst_0), v_coeff.val[1]);
uint16x4_t v_dst0 = vmovn_u32(vcvtq_u32_f32(v_dst));
// second part
v_src00_f = vcvtq_f32_s32(vmovl_s16(vget_high_s16(v_src00)));
v_src10_f = vcvtq_f32_s32(vmovl_s16(vget_high_s16(v_src10)));
v_coeff = vld2q_f32(coeff_row + (x << 1) + 8);
v_dst_0 = vmlaq_f32(v_src00_f, vcvtq_f32_s32(vsubl_s16(vget_high_s16(v_src01),
vget_high_s16(v_src00))), v_coeff.val[0]);
v_dst_1 = vmlaq_f32(v_src10_f, vcvtq_f32_s32(vsubl_s16(vget_high_s16(v_src11),
vget_high_s16(v_src10))), v_coeff.val[0]);
v_dst = vmlaq_f32(v_dst_0, vsubq_f32(v_dst_1, v_dst_0), v_coeff.val[1]);
uint16x4_t v_dst1 = vmovn_u32(vcvtq_u32_f32(v_dst));
// store
vst1_u8(dst_row + x, vmovn_u16(vcombine_u16(v_dst0, v_dst1)));
}
for ( ; x < size.width; ++x)
{
s16 src00 = map_row[(x << 2) + 0] >= 0 ? srcBase[map_row[(x << 2) + 0]] : borderValue;
s16 src01 = map_row[(x << 2) + 1] >= 0 ? srcBase[map_row[(x << 2) + 1]] : borderValue;
s16 src10 = map_row[(x << 2) + 2] >= 0 ? srcBase[map_row[(x << 2) + 2]] : borderValue;
s16 src11 = map_row[(x << 2) + 3] >= 0 ? srcBase[map_row[(x << 2) + 3]] : borderValue;
f32 dst_val_0 = (src01 - src00) * coeff_row[(x << 1)] + src00;
f32 dst_val_1 = (src11 - src10) * coeff_row[(x << 1)] + src10;
dst_row[x] = floorf((dst_val_1 - dst_val_0) * coeff_row[(x << 1) + 1] + dst_val_0);
}
}
}
} // namespace internal
#endif // CAROTENE_NEON
bool isRemapNearestNeighborSupported(const Size2D &ssize)
{
#if SIZE_MAX > UINT32_MAX
return !(ssize.width > 0xffffFFFF || ssize.height > 0xffffFFFF) && // Restrict image size since internal index evaluation
// is performed with u32
isSupportedConfiguration();
#else
(void)ssize;
return isSupportedConfiguration();
#endif
}
bool isRemapLinearSupported(const Size2D &ssize)
{
#if SIZE_MAX > UINT32_MAX
return !(ssize.width > 0xffffFFFF || ssize.height > 0xffffFFFF) && // Restrict image size since internal index evaluation
// is performed with u32
isSupportedConfiguration();
#else
(void)ssize;
return isSupportedConfiguration();
#endif
}
void remapNearestNeighbor(const Size2D &ssize, const Size2D &dsize,
const u8 * srcBase, ptrdiff_t srcStride,
const f32 * tableBase, ptrdiff_t tableStride,
u8 * dstBase, ptrdiff_t dstStride,
BORDER_MODE borderMode, u8 borderValue)
{
internal::assertSupportedConfiguration(isRemapNearestNeighborSupported(ssize));
#ifdef CAROTENE_NEON
using namespace internal;
s32 _map[BLOCK_SIZE * BLOCK_SIZE + 16];
s32 * map = alignPtr(_map, 16);
int32x4_t v_width4 = vdupq_n_s32(ssize.width - 1), v_height4 = vdupq_n_s32(ssize.height - 1);
int32x2_t v_width2 = vdup_n_s32(ssize.width - 1), v_height2 = vdup_n_s32(ssize.height - 1);
int32x4_t v_step4 = vdupq_n_s32(srcStride);
int32x2_t v_step2 = vdup_n_s32(srcStride);
if (borderMode == BORDER_MODE_REPLICATE)
{
int32x4_t v_zero4 = vdupq_n_s32(0);
int32x2_t v_zero2 = vdup_n_s32(0);
for (size_t i = 0; i < dsize.height; i += BLOCK_SIZE)
{
size_t blockHeight = std::min<size_t>(BLOCK_SIZE, dsize.height - i);
for (size_t j = 0; j < dsize.width; j += BLOCK_SIZE)
{
size_t blockWidth = std::min<size_t>(BLOCK_SIZE, dsize.width - j);
// compute table
for (size_t y = 0; y < blockHeight; ++y)
{
const f32 * table_row = getRowPtr(tableBase, tableStride, i + y) + (j << 1);
s32 * map_row = getRowPtr(&map[0], blockWidth * sizeof(s32), y);
size_t x = 0;
for ( ; x + 8 <= blockWidth; x += 8)
{
float32x4x2_t v_table0 = vld2q_f32(table_row + (x << 1)),
v_table1 = vld2q_f32(table_row + (x << 1) + 8);
int32x4_t v_dst_x = vmaxq_s32(v_zero4, vminq_s32(v_width4, vcvtq_s32_f32(v_table0.val[0])));
int32x4_t v_dst_y = vmaxq_s32(v_zero4, vminq_s32(v_height4, vcvtq_s32_f32(v_table0.val[1])));
int32x4_t v_dst_index = vmlaq_s32(v_dst_x, v_dst_y, v_step4);
vst1q_s32(map_row + x, v_dst_index);
v_dst_x = vmaxq_s32(v_zero4, vminq_s32(v_width4, vcvtq_s32_f32(v_table1.val[0])));
v_dst_y = vmaxq_s32(v_zero4, vminq_s32(v_height4, vcvtq_s32_f32(v_table1.val[1])));
v_dst_index = vmlaq_s32(v_dst_x, v_dst_y, v_step4);
vst1q_s32(map_row + x + 4, v_dst_index);
}
for ( ; x + 4 <= blockWidth; x += 4)
{
float32x4x2_t v_table0 = vld2q_f32(table_row + (x << 1));
int32x4_t v_dst_x = vmaxq_s32(v_zero4, vminq_s32(v_width4, vcvtq_s32_f32(v_table0.val[0])));
int32x4_t v_dst_y = vmaxq_s32(v_zero4, vminq_s32(v_height4, vcvtq_s32_f32(v_table0.val[1])));
int32x4_t v_dst_index = vmlaq_s32(v_dst_x, v_dst_y, v_step4);
vst1q_s32(map_row + x, v_dst_index);
}
for ( ; x + 2 <= blockWidth; x += 2)
{
float32x2x2_t v_table0 = vld2_f32(table_row + (x << 1));
int32x2_t v_dst_x = vmax_s32(v_zero2, vmin_s32(v_width2, vcvt_s32_f32(v_table0.val[0])));
int32x2_t v_dst_y = vmax_s32(v_zero2, vmin_s32(v_height2, vcvt_s32_f32(v_table0.val[1])));
int32x2_t v_dst_index = vmla_s32(v_dst_x, v_dst_y, v_step2);
vst1_s32(map_row + x, v_dst_index);
}
for ( ; x < blockWidth; ++x)
{
s32 src_x = std::max(0, std::min<s32>(ssize.width - 1, (s32)floorf(table_row[(x << 1) + 0])));
s32 src_y = std::max(0, std::min<s32>(ssize.height - 1, (s32)floorf(table_row[(x << 1) + 1])));
map_row[x] = src_y * srcStride + src_x;
}
}
// make remap
remapNearestNeighborReplicate(Size2D(blockWidth, blockHeight), srcBase, &map[0],
getRowPtr(dstBase, dstStride, i) + j, dstStride);
}
}
}
else if (borderMode == BORDER_MODE_CONSTANT)
{
int32x4_t v_m1_4 = vdupq_n_s32(-1);
int32x2_t v_m1_2 = vdup_n_s32(-1);
float32x4_t v_zero4 = vdupq_n_f32(0.0f);
float32x2_t v_zero2 = vdup_n_f32(0.0f);
for (size_t i = 0; i < dsize.height; i += BLOCK_SIZE)
{
size_t blockHeight = std::min<size_t>(BLOCK_SIZE, dsize.height - i);
for (size_t j = 0; j < dsize.width; j += BLOCK_SIZE)
{
size_t blockWidth = std::min<size_t>(BLOCK_SIZE, dsize.width - j);
// compute table
for (size_t y = 0; y < blockHeight; ++y)
{
const f32 * table_row = getRowPtr(tableBase, tableStride, i + y) + (j << 1);
s32 * map_row = getRowPtr(&map[0], blockWidth * sizeof(s32), y);
size_t x = 0;
for ( ; x + 8 <= blockWidth; x += 8)
{
float32x4x2_t v_table0 = vld2q_f32(table_row + (x << 1)),
v_table1 = vld2q_f32(table_row + (x << 1) + 8);
int32x4_t v_dst_x = vcvtq_s32_f32(v_table0.val[0]);
int32x4_t v_dst_y = vcvtq_s32_f32(v_table0.val[1]);
uint32x4_t v_mask = vandq_u32(vandq_u32(vcgeq_f32(v_table0.val[0], v_zero4), vcleq_s32(v_dst_x, v_width4)),
vandq_u32(vcgeq_f32(v_table0.val[1], v_zero4), vcleq_s32(v_dst_y, v_height4)));
int32x4_t v_dst_index = vbslq_s32(v_mask, vmlaq_s32(v_dst_x, v_dst_y, v_step4), v_m1_4);
vst1q_s32(map_row + x, v_dst_index);
v_dst_x = vcvtq_s32_f32(v_table1.val[0]);
v_dst_y = vcvtq_s32_f32(v_table1.val[1]);
v_mask = vandq_u32(vandq_u32(vcgeq_f32(v_table1.val[0], v_zero4), vcleq_s32(v_dst_x, v_width4)),
vandq_u32(vcgeq_f32(v_table1.val[1], v_zero4), vcleq_s32(v_dst_y, v_height4)));
v_dst_index = vbslq_s32(v_mask, vmlaq_s32(v_dst_x, v_dst_y, v_step4), v_m1_4);
vst1q_s32(map_row + x + 4, v_dst_index);
}
for ( ; x + 4 <= blockWidth; x += 4)
{
float32x4x2_t v_table0 = vld2q_f32(table_row + (x << 1));
int32x4_t v_dst_x = vcvtq_s32_f32(v_table0.val[0]);
int32x4_t v_dst_y = vcvtq_s32_f32(v_table0.val[1]);
uint32x4_t v_mask = vandq_u32(vandq_u32(vcgeq_f32(v_table0.val[0], v_zero4), vcleq_s32(v_dst_x, v_width4)),
vandq_u32(vcgeq_f32(v_table0.val[1], v_zero4), vcleq_s32(v_dst_y, v_height4)));
int32x4_t v_dst_index = vbslq_s32(v_mask, vmlaq_s32(v_dst_x, v_dst_y, v_step4), v_m1_4);
vst1q_s32(map_row + x, v_dst_index);
}
for ( ; x + 2 <= blockWidth; x += 2)
{
float32x2x2_t v_table0 = vld2_f32(table_row + (x << 1));
int32x2_t v_dst_x = vcvt_s32_f32(v_table0.val[0]);
int32x2_t v_dst_y = vcvt_s32_f32(v_table0.val[1]);
uint32x2_t v_mask = vand_u32(vand_u32(vcge_f32(v_table0.val[0], v_zero2), vcle_s32(v_dst_x, v_width2)),
vand_u32(vcge_f32(v_table0.val[1], v_zero2), vcle_s32(v_dst_y, v_height2)));
int32x2_t v_dst_index = vbsl_s32(v_mask, vmla_s32(v_dst_x, v_dst_y, v_step2), v_m1_2);
vst1_s32(map_row + x, v_dst_index);
}
for ( ; x < blockWidth; ++x)
{
s32 src_x = (s32)floorf(table_row[(x << 1) + 0]);
s32 src_y = (s32)floorf(table_row[(x << 1) + 1]);
map_row[x] = (src_x >= 0) && (src_x < (s32)ssize.width) &&
(src_y >= 0) && (src_y < (s32)ssize.height) ? src_y * srcStride + src_x : -1;
}
}
// make remap
remapNearestNeighborConst(Size2D(blockWidth, blockHeight), srcBase, &map[0],
getRowPtr(dstBase, dstStride, i) + j, dstStride, borderValue);
}
}
}
#else
(void)ssize;
(void)dsize;
(void)srcBase;
(void)srcStride;
(void)tableBase;
(void)tableStride;
(void)dstBase;
(void)dstStride;
(void)borderMode;
(void)borderValue;
#endif
}
void remapLinear(const Size2D &ssize, const Size2D &dsize,
const u8 * srcBase, ptrdiff_t srcStride,
const f32 * tableBase, ptrdiff_t tableStride,
u8 * dstBase, ptrdiff_t dstStride,
BORDER_MODE borderMode, u8 borderValue)
{
internal::assertSupportedConfiguration(isRemapLinearSupported(ssize));
#ifdef CAROTENE_NEON
using namespace internal;
s32 _map[((BLOCK_SIZE * BLOCK_SIZE) << 2) + 16];
f32 _coeffs[((BLOCK_SIZE * BLOCK_SIZE) << 1) + 16];
s32 * map = alignPtr(_map, 16);
f32 * coeffs = alignPtr(_coeffs, 16);
int32x4_t v_width4 = vdupq_n_s32(ssize.width - 1), v_height4 = vdupq_n_s32(ssize.height - 1);
int32x4_t v_step4 = vdupq_n_s32(srcStride), v_1 = vdupq_n_s32(1);
float32x4_t v_zero4f = vdupq_n_f32(0.0f), v_one4f = vdupq_n_f32(1.0f);
if (borderMode == BORDER_MODE_REPLICATE)
{
int32x4_t v_zero4 = vdupq_n_s32(0);
for (size_t i = 0; i < dsize.height; i += BLOCK_SIZE)
{
size_t blockHeight = std::min<size_t>(BLOCK_SIZE, dsize.height - i);
for (size_t j = 0; j < dsize.width; j += BLOCK_SIZE)
{
size_t blockWidth = std::min<size_t>(BLOCK_SIZE, dsize.width - j);
// compute table
for (size_t y = 0; y < blockHeight; ++y)
{
const f32 * table_row = getRowPtr(tableBase, tableStride, i + y) + (j << 1);
s32 * map_row = getRowPtr(map, blockWidth * sizeof(s32) * 4, y);
f32 * coeff_row = getRowPtr(coeffs, blockWidth * sizeof(f32) * 2, y);
size_t x = 0;
for ( ; x + 4 <= blockWidth; x += 4)
{
float32x4x2_t v_table = vld2q_f32(table_row + (x << 1));
int32x4_t v_src_x = vcvtq_s32_f32(v_table.val[0]);
int32x4_t v_src_y = vcvtq_s32_f32(v_table.val[1]);
float32x4x2_t v_coeff;
v_coeff.val[0] = vsubq_f32(v_table.val[0], vcvtq_f32_s32(v_src_x));
v_coeff.val[1] = vsubq_f32(v_table.val[1], vcvtq_f32_s32(v_src_y));
uint32x4_t v_maskx = vcltq_f32(v_coeff.val[0], v_zero4f);
uint32x4_t v_masky = vcltq_f32(v_coeff.val[1], v_zero4f);
v_coeff.val[0] = vbslq_f32(v_maskx, vaddq_f32(v_one4f, v_coeff.val[0]), v_coeff.val[0]);
v_coeff.val[1] = vbslq_f32(v_masky, vaddq_f32(v_one4f, v_coeff.val[1]), v_coeff.val[1]);
v_src_x = vbslq_s32(v_maskx, vsubq_s32(v_src_x, v_1), v_src_x);
v_src_y = vbslq_s32(v_masky, vsubq_s32(v_src_y, v_1), v_src_y);
int32x4_t v_dst0_x = vmaxq_s32(v_zero4, vminq_s32(v_width4, v_src_x));
int32x4_t v_dst0_y = vmaxq_s32(v_zero4, vminq_s32(v_height4, v_src_y));
int32x4_t v_dst1_x = vmaxq_s32(v_zero4, vminq_s32(v_width4, vaddq_s32(v_1, v_src_x)));
int32x4_t v_dst1_y = vmaxq_s32(v_zero4, vminq_s32(v_height4, vaddq_s32(v_1, v_src_y)));
int32x4x4_t v_dst_index;
v_dst_index.val[0] = vmlaq_s32(v_dst0_x, v_dst0_y, v_step4);
v_dst_index.val[1] = vmlaq_s32(v_dst1_x, v_dst0_y, v_step4);
v_dst_index.val[2] = vmlaq_s32(v_dst0_x, v_dst1_y, v_step4);
v_dst_index.val[3] = vmlaq_s32(v_dst1_x, v_dst1_y, v_step4);
vst2q_f32(coeff_row + (x << 1), v_coeff);
vst4q_s32(map_row + (x << 2), v_dst_index);
}
for ( ; x < blockWidth; ++x)
{
f32 src_x_f = table_row[(x << 1) + 0];
f32 src_y_f = table_row[(x << 1) + 1];
s32 src0_x = (s32)floorf(src_x_f);
s32 src0_y = (s32)floorf(src_y_f);
coeff_row[x << 1] = src_x_f - src0_x;
coeff_row[(x << 1) + 1] = src_y_f - src0_y;
s32 src1_y = std::max(0, std::min<s32>(ssize.height - 1, src0_y + 1));
src0_y = std::max(0, std::min<s32>(ssize.height - 1, src0_y));
s32 src1_x = std::max(0, std::min<s32>(ssize.width - 1, src0_x + 1));
src0_x = std::max(0, std::min<s32>(ssize.width - 1, src0_x));
map_row[(x << 2) + 0] = src0_y * srcStride + src0_x;
map_row[(x << 2) + 1] = src0_y * srcStride + src1_x;
map_row[(x << 2) + 2] = src1_y * srcStride + src0_x;
map_row[(x << 2) + 3] = src1_y * srcStride + src1_x;
}
}
remapLinearReplicate(Size2D(blockWidth, blockHeight),
srcBase, &map[0], &coeffs[0],
getRowPtr(dstBase, dstStride, i) + j, dstStride);
}
}
}
else if (borderMode == BORDER_MODE_CONSTANT)
{
float32x4_t v_zero4 = vdupq_n_f32(0.0f);
int32x4_t v_m1_4 = vdupq_n_s32(-1);
for (size_t i = 0; i < dsize.height; i += BLOCK_SIZE)
{
size_t blockHeight = std::min<size_t>(BLOCK_SIZE, dsize.height - i);
for (size_t j = 0; j < dsize.width; j += BLOCK_SIZE)
{
size_t blockWidth = std::min<size_t>(BLOCK_SIZE, dsize.width - j);
// compute table
for (size_t y = 0; y < blockHeight; ++y)
{
const f32 * table_row = getRowPtr(tableBase, tableStride, i + y) + (j << 1);
s32 * map_row = getRowPtr(map, blockWidth * sizeof(s32) * 4, y);
f32 * coeff_row = getRowPtr(coeffs, blockWidth * sizeof(f32) * 2, y);
size_t x = 0;
for ( ; x + 4 <= blockWidth; x += 4)
{
float32x4x2_t v_table = vld2q_f32(table_row + (x << 1));
int32x4_t v_src_x0 = vcvtq_s32_f32(v_table.val[0]);
int32x4_t v_src_y0 = vcvtq_s32_f32(v_table.val[1]);
float32x4x2_t v_coeff;
v_coeff.val[0] = vsubq_f32(v_table.val[0], vcvtq_f32_s32(v_src_x0));
v_coeff.val[1] = vsubq_f32(v_table.val[1], vcvtq_f32_s32(v_src_y0));
uint32x4_t v_maskx = vcltq_f32(v_coeff.val[0], v_zero4f);
uint32x4_t v_masky = vcltq_f32(v_coeff.val[1], v_zero4f);
v_coeff.val[0] = vbslq_f32(v_maskx, vaddq_f32(v_one4f, v_coeff.val[0]), v_coeff.val[0]);
v_coeff.val[1] = vbslq_f32(v_masky, vaddq_f32(v_one4f, v_coeff.val[1]), v_coeff.val[1]);
v_src_x0 = vbslq_s32(v_maskx, vsubq_s32(v_src_x0, v_1), v_src_x0);
v_src_y0 = vbslq_s32(v_masky, vsubq_s32(v_src_y0, v_1), v_src_y0);
int32x4_t v_src_x1 = vaddq_s32(v_src_x0, v_1);
int32x4_t v_src_y1 = vaddq_s32(v_src_y0, v_1);
int32x4x4_t v_dst_index;
v_dst_index.val[0] = vmlaq_s32(v_src_x0, v_src_y0, v_step4);
v_dst_index.val[1] = vmlaq_s32(v_src_x1, v_src_y0, v_step4);
v_dst_index.val[2] = vmlaq_s32(v_src_x0, v_src_y1, v_step4);
v_dst_index.val[3] = vmlaq_s32(v_src_x1, v_src_y1, v_step4);
uint32x4_t v_mask_x0 = vandq_u32(vcgeq_f32(v_table.val[0], v_zero4), vcleq_s32(v_src_x0, v_width4));
uint32x4_t v_mask_x1 = vandq_u32(vcgeq_f32(vaddq_f32(v_table.val[0], v_one4f), v_zero4), vcleq_s32(v_src_x1, v_width4));
uint32x4_t v_mask_y0 = vandq_u32(vcgeq_f32(v_table.val[1], v_zero4), vcleq_s32(v_src_y0, v_height4));
uint32x4_t v_mask_y1 = vandq_u32(vcgeq_f32(vaddq_f32(v_table.val[1], v_one4f), v_zero4), vcleq_s32(v_src_y1, v_height4));
v_dst_index.val[0] = vbslq_s32(vandq_u32(v_mask_x0, v_mask_y0), v_dst_index.val[0], v_m1_4);
v_dst_index.val[1] = vbslq_s32(vandq_u32(v_mask_x1, v_mask_y0), v_dst_index.val[1], v_m1_4);
v_dst_index.val[2] = vbslq_s32(vandq_u32(v_mask_x0, v_mask_y1), v_dst_index.val[2], v_m1_4);
v_dst_index.val[3] = vbslq_s32(vandq_u32(v_mask_x1, v_mask_y1), v_dst_index.val[3], v_m1_4);
vst2q_f32(coeff_row + (x << 1), v_coeff);
vst4q_s32(map_row + (x << 2), v_dst_index);
}
for ( ; x < blockWidth; ++x)
{
f32 src_x_f = table_row[(x << 1) + 0];
f32 src_y_f = table_row[(x << 1) + 1];
s32 src0_x = (s32)floorf(src_x_f), src1_x = src0_x + 1;
s32 src0_y = (s32)floorf(src_y_f), src1_y = src0_y + 1;
coeff_row[(x << 1)] = src_x_f - src0_x;
coeff_row[(x << 1) + 1] = src_y_f - src0_y;
map_row[(x << 2) + 0] = (src0_x >= 0) && (src0_x < (s32)ssize.width) &&
(src0_y >= 0) && (src0_y < (s32)ssize.height) ? src0_y * srcStride + src0_x : -1;
map_row[(x << 2) + 1] = (src1_x >= 0) && (src1_x < (s32)ssize.width) &&
(src0_y >= 0) && (src0_y < (s32)ssize.height) ? src0_y * srcStride + src1_x : -1;
map_row[(x << 2) + 2] = (src0_x >= 0) && (src0_x < (s32)ssize.width) &&
(src1_y >= 0) && (src1_y < (s32)ssize.height) ? src1_y * srcStride + src0_x : -1;
map_row[(x << 2) + 3] = (src1_x >= 0) && (src1_x < (s32)ssize.width) &&
(src1_y >= 0) && (src1_y < (s32)ssize.height) ? src1_y * srcStride + src1_x : -1;
}
}
remapLinearConst(Size2D(blockWidth, blockHeight),
srcBase, &map[0], &coeffs[0],
getRowPtr(dstBase, dstStride, i) + j, dstStride, borderValue);
}
}
}
#else
(void)ssize;
(void)dsize;
(void)srcBase;
(void)srcStride;
(void)tableBase;
(void)tableStride;
(void)dstBase;
(void)dstStride;
(void)borderMode;
(void)borderValue;
#endif
}
} // namespace CAROTENE_NS
+85
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/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2015, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#ifndef CAROTENE_SRC_REMAP_HPP
#define CAROTENE_SRC_REMAP_HPP
#include "common.hpp"
#include <cmath>
#ifdef CAROTENE_NEON
namespace CAROTENE_NS { namespace internal {
enum
{
BLOCK_SIZE = 32
};
void remapNearestNeighborReplicate(const Size2D size,
const u8 * srcBase,
const s32 * map,
u8 * dstBase, ptrdiff_t dstStride);
void remapNearestNeighborConst(const Size2D size,
const u8 * srcBase,
const s32 * map,
u8 * dstBase, ptrdiff_t dstStride,
u8 borderValue);
void remapLinearReplicate(const Size2D size,
const u8 * srcBase,
const s32 * map,
const f32 * coeffs,
u8 * dstBase, ptrdiff_t dstStride);
void remapLinearConst(const Size2D size,
const u8 * srcBase,
const s32 * map,
const f32 * coeffs,
u8 * dstBase, ptrdiff_t dstStride,
u8 borderValue);
} }
#endif // CAROTENE_NEON
#endif // CAROTENE_SRC_REMAP_HPP
File diff suppressed because it is too large Load Diff
+199
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/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2012-2015, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#ifndef CAROTENE_SATURATE_CAST_HPP
#define CAROTENE_SATURATE_CAST_HPP
#include <algorithm>
#include <climits>
#include <cmath>
#if defined _MSC_VER && defined _M_ARM
# include <intrin.h>
#endif
#include <carotene/definitions.hpp>
#include <carotene/types.hpp>
namespace CAROTENE_NS { namespace internal {
#if defined _MSC_VER && defined _M_ARM
__declspec(naked) static void vcvtr_s32_f64_imp(f64 d)
{
(void)d;
__emit(0xEEBD); // vcvtr.s32.f64 s0, d0
__emit(0x0B40);
__emit(0xEE10); // vmov r0, s0
__emit(0x0A10);
__emit(0x4770); // bx lr
}
# define CAROTENE_ROUND_FLT(x) return ((s32 (*)(f64))vcvtr_s32_f64_imp)((f64)x);
# define CAROTENE_ROUND_DBL(x) return ((s32 (*)(f64))vcvtr_s32_f64_imp)(x);
#elif defined CV_ICC || defined __GNUC__
# if defined(__VFP_FP__) && !defined(__SOFTFP__) && !(defined _DEBUG || defined DEBUG) && !defined(__CUDACC__)
# define CAROTENE_ROUND_FLT(value) { \
union { f32 f; s32 i; } result; \
asm ("ftosis %0, %1 \n" : "=w" (result.f) : "w" (value) ); \
return result.i; }
# define CAROTENE_ROUND_DBL(value) { \
union {f32 f; s32 i;} __tegra_result; \
asm ( \
"ftosid %0, %P1\n" \
: "=w" (__tegra_result.f) \
: "w" (value) \
); \
return __tegra_result.i; \
}
# else
# define CAROTENE_ROUND_FLT(x) return (s32)lrintf(value);
# define CAROTENE_ROUND_DBL(value) return (s32)lrint(value);
# endif
#endif
inline s32 round(f32 value)
{
#ifdef CAROTENE_ROUND_FLT
CAROTENE_ROUND_FLT(value)
#else
s32 intpart = (s32)(value);
f32 fractpart = value - intpart;
if ((fractpart != 0.5 && fractpart != -0.5) || ((intpart % 2) != 0))
return (s32)(value + (value >= 0 ? 0.5 : -0.5));
else
return intpart;
#endif
}
inline s32 round(f64 value)
{
#ifdef CAROTENE_ROUND_DBL
CAROTENE_ROUND_DBL(value)
#else
s32 intpart = (s32)(value);
f64 fractpart = value - intpart;
if ((fractpart != 0.5 && fractpart != -0.5) || ((intpart % 2) != 0))
return (s32)(value + (value >= 0 ? 0.5 : -0.5));
else
return intpart;
#endif
}
/////////////// saturate_cast (used in image & signal processing) ///////////////////
template<typename _Tp> inline _Tp saturate_cast(u8 v) { return _Tp(v); }
template<typename _Tp> inline _Tp saturate_cast(s8 v) { return _Tp(v); }
template<typename _Tp> inline _Tp saturate_cast(u16 v) { return _Tp(v); }
template<typename _Tp> inline _Tp saturate_cast(s16 v) { return _Tp(v); }
template<typename _Tp> inline _Tp saturate_cast(u32 v) { return _Tp(v); }
template<typename _Tp> inline _Tp saturate_cast(s32 v) { return _Tp(v); }
template<typename _Tp> inline _Tp saturate_cast(s64 v) { return _Tp(v); }
template<typename _Tp> inline _Tp saturate_cast(u64 v) { return _Tp(v); }
template<typename _Tp> inline _Tp saturate_cast(f32 v) { return _Tp(v); }
template<typename _Tp> inline _Tp saturate_cast(f64 v) { return _Tp(v); }
template<> inline u8 saturate_cast<u8>(s8 v) { return (u8)std::max((s32)v, 0); }
template<> inline u8 saturate_cast<u8>(u16 v) { return (u8)std::min((u32)v, (u32)UCHAR_MAX); }
template<> inline u8 saturate_cast<u8>(s32 v) { return (u8)((u32)v <= UCHAR_MAX ? v : v > 0 ? UCHAR_MAX : 0); }
template<> inline u8 saturate_cast<u8>(s16 v) { return saturate_cast<u8>((s32)v); }
template<> inline u8 saturate_cast<u8>(u32 v) { return (u8)std::min(v, (u32)UCHAR_MAX); }
template<> inline u8 saturate_cast<u8>(s64 v) { return (u8)((u64)v <= UCHAR_MAX ? v : v > 0 ? UCHAR_MAX : 0); }
template<> inline u8 saturate_cast<u8>(u64 v) { return (u8)std::min(v, (u64)UCHAR_MAX); }
template<> inline u8 saturate_cast<u8>(f32 v) { return saturate_cast<u8>(round(v)); }
template<> inline u8 saturate_cast<u8>(f64 v) { return saturate_cast<u8>(round(v)); }
template<> inline s8 saturate_cast<s8>(u8 v) { return (s8)std::min((s32)v, SCHAR_MAX); }
template<> inline s8 saturate_cast<s8>(u16 v) { return (s8)std::min((u32)v, (u32)SCHAR_MAX); }
template<> inline s8 saturate_cast<s8>(s32 v) { return (s8)((u32)(v-SCHAR_MIN) <= (u32)UCHAR_MAX ? v : v > 0 ? SCHAR_MAX : SCHAR_MIN); }
template<> inline s8 saturate_cast<s8>(s16 v) { return saturate_cast<s8>((s32)v); }
template<> inline s8 saturate_cast<s8>(u32 v) { return (s8)std::min(v, (u32)SCHAR_MAX); }
template<> inline s8 saturate_cast<s8>(s64 v) { return (s8)((u64)(v-SCHAR_MIN) <= (u64)UCHAR_MAX ? v : v > 0 ? SCHAR_MAX : SCHAR_MIN); }
template<> inline s8 saturate_cast<s8>(u64 v) { return (s8)std::min(v, (u64)SCHAR_MAX); }
template<> inline s8 saturate_cast<s8>(f32 v) { return saturate_cast<s8>(round(v)); }
template<> inline s8 saturate_cast<s8>(f64 v) { return saturate_cast<s8>(round(v)); }
template<> inline u16 saturate_cast<u16>(s8 v) { return (u16)std::max((s32)v, 0); }
template<> inline u16 saturate_cast<u16>(s16 v) { return (u16)std::max((s32)v, 0); }
template<> inline u16 saturate_cast<u16>(s32 v) { return (u16)((u32)v <= (u32)USHRT_MAX ? v : v > 0 ? USHRT_MAX : 0); }
template<> inline u16 saturate_cast<u16>(u32 v) { return (u16)std::min(v, (u32)USHRT_MAX); }
template<> inline u16 saturate_cast<u16>(s64 v) { return (u16)((u64)v <= (u64)USHRT_MAX ? v : v > 0 ? USHRT_MAX : 0); }
template<> inline u16 saturate_cast<u16>(u64 v) { return (u16)std::min(v, (u64)USHRT_MAX); }
template<> inline u16 saturate_cast<u16>(f32 v) { return saturate_cast<u16>(round(v)); }
template<> inline u16 saturate_cast<u16>(f64 v) { return saturate_cast<u16>(round(v)); }
template<> inline s16 saturate_cast<s16>(u16 v) { return (s16)std::min((s32)v, SHRT_MAX); }
template<> inline s16 saturate_cast<s16>(s32 v) { return (s16)((u32)(v - SHRT_MIN) <= (u32)USHRT_MAX ? v : v > 0 ? SHRT_MAX : SHRT_MIN); }
template<> inline s16 saturate_cast<s16>(u32 v) { return (s16)std::min(v, (u32)SHRT_MAX); }
template<> inline s16 saturate_cast<s16>(s64 v) { return (s16)((u64)(v - SHRT_MIN) <= (u64)USHRT_MAX ? v : v > 0 ? SHRT_MAX : SHRT_MIN); }
template<> inline s16 saturate_cast<s16>(u64 v) { return (s16)std::min(v, (u64)SHRT_MAX); }
template<> inline s16 saturate_cast<s16>(f32 v) { return saturate_cast<s16>(round(v)); }
template<> inline s16 saturate_cast<s16>(f64 v) { return saturate_cast<s16>(round(v)); }
template<> inline u32 saturate_cast<u32>(s8 v) { return (u32)std::max(v, (s8)0); }
template<> inline u32 saturate_cast<u32>(s16 v) { return (u32)std::max(v, (s16)0); }
template<> inline u32 saturate_cast<u32>(s32 v) { return (u32)std::max(v, (s32)0); }
template<> inline u32 saturate_cast<u32>(s64 v) { return (u32)((u64)v <= (u64)UINT_MAX ? v : v > 0 ? UINT_MAX : 0); }
template<> inline u32 saturate_cast<u32>(u64 v) { return (u32)std::min(v, (u64)UINT_MAX); }
//OpenCV like f32/f64 -> u32 conversion
//we intentionally do not clip negative numbers, to make -1 become 0xffffffff etc.
template<> inline u32 saturate_cast<u32>(f32 v) { return round(v); }
template<> inline u32 saturate_cast<u32>(f64 v) { return round(v); }
//Negative clipping implementation
//template<> inline u32 saturate_cast<u32>(f32 v) { return saturate_cast<u32>(round(v)); }
//template<> inline u32 saturate_cast<u32>(f64 v) { return saturate_cast<u32>(round(v)); }
template<> inline s32 saturate_cast<s32>(u32 v) { return (s32)std::min(v, (u32)INT_MAX); }
template<> inline s32 saturate_cast<s32>(s64 v) { return (s32)((u64)(v - INT_MIN) <= (u64)UINT_MAX ? v : v > 0 ? INT_MAX : INT_MIN); }
template<> inline s32 saturate_cast<s32>(u64 v) { return (s32)std::min(v, (u64)INT_MAX); }
template<> inline s32 saturate_cast<s32>(f32 v) { return round(v); }
template<> inline s32 saturate_cast<s32>(f64 v) { return round(v); }
template<> inline u64 saturate_cast<u64>(s8 v) { return (u64)std::max(v, (s8)0); }
template<> inline u64 saturate_cast<u64>(s16 v) { return (u64)std::max(v, (s16)0); }
template<> inline u64 saturate_cast<u64>(s32 v) { return (u64)std::max(v, (s32)0); }
template<> inline u64 saturate_cast<u64>(s64 v) { return (u64)std::max(v, (s64)0); }
template<> inline s64 saturate_cast<s64>(u64 v) { return (s64)std::min(v, (u64)LLONG_MAX); }
} }
#endif
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/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2012-2015, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#include <vector>
#include "common.hpp"
namespace CAROTENE_NS {
bool isScharr3x3Supported(const Size2D &size, BORDER_MODE border, s32 dx, s32 dy, Margin borderMargin)
{
return (dx == 0 && dy == 1 &&
isSeparableFilter3x3Supported(size, border, 3, 1, borderMargin)) ||
(dx == 1 && dy == 0 &&
isSeparableFilter3x3Supported(size, border, 1, 3, borderMargin));
}
void Scharr3x3(const Size2D &size,
const u8 * srcBase, ptrdiff_t srcStride,
s16 * dstBase, ptrdiff_t dstStride,
s32 dx, s32 dy,
BORDER_MODE border, u8 borderValue, Margin borderMargin)
{
internal::assertSupportedConfiguration(isScharr3x3Supported(size, border, dx, dy, borderMargin));
#ifdef CAROTENE_NEON
static s16 dw[] = {3, 10, 3};
if (dy == 1)
SeparableFilter3x3(size, srcBase, srcStride, dstBase, dstStride,
3, 1, dw, 0,
border, borderValue, borderMargin);
else
SeparableFilter3x3(size, srcBase, srcStride, dstBase, dstStride,
1, 3, 0, dw,
border, borderValue, borderMargin);
#else
(void)srcBase;
(void)srcStride;
(void)dstBase;
(void)dstStride;
(void)borderValue;
#endif
}
void ScharrDeriv(const Size2D &size, s32 cn,
const u8 * srcBase, ptrdiff_t srcStride,
s16 * dstBase, ptrdiff_t dstStride)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
size_t colsn = size.width*cn;
size_t roiw8 = colsn > 7 ? colsn - 7 : 0;
ptrdiff_t delta = (ptrdiff_t)(((size.width + 2)*cn + 15) & -16);//align size
std::vector<s16> _tempBuf((delta << 1) + 64);
s16 *trow0 = internal::alignPtr(&_tempBuf[cn], 16), *trow1 = internal::alignPtr(trow0 + delta, 16);
int16x8_t vc3 = vmovq_n_s16(3);
int16x8_t vc10 = vmovq_n_s16(10);
uint8x8_t v8c10 = vmov_n_u8(10);
for(size_t y = 0; y < size.height; y++ )
{
const u8* srow0 = internal::getRowPtr(srcBase, srcStride, y > 0 ? y-1 : size.height > 1 ? 1 : 0);
const u8* srow1 = internal::getRowPtr(srcBase, srcStride, y);
const u8* srow2 = internal::getRowPtr(srcBase, srcStride, y < size.height-1 ? y+1 : size.height > 1 ? size.height-2 : 0);
s16* drow = internal::getRowPtr(dstBase, dstStride, y);
// do vertical convolution
size_t x = 0;
for( ; x < roiw8; x += 8 )
{
internal::prefetch(srow0 + x);
internal::prefetch(srow1 + x);
internal::prefetch(srow2 + x);
#if !defined(__aarch64__) && defined(__GNUC__) && __GNUC__ == 4 && __GNUC_MINOR__ < 7 && !defined(__clang__)
__asm__ (
"vld1.8 {d0}, [%[src0]] \n\t"
"vld1.8 {d2}, [%[src2]] \n\t"
"vld1.8 {d1}, [%[src1]] \n\t"
"vaddl.u8 q2, d2, d0 \n\t"
"vmull.u8 q3, d1, %[vc10] \n\t"
"vsubl.u8 q4, d2, d0 \n\t"
"vmla.s16 q3, q2, %q[vc3] \n\t"
"vst1.16 {d8-d9}, [%[out1],:128] \n\t"
"vst1.16 {d6-d7}, [%[out0],:128] \n\t"
:
: [out0] "r" (trow0 + x),
[out1] "r" (trow1 + x),
[src0] "r" (srow0 + x),
[src1] "r" (srow1 + x),
[src2] "r" (srow2 + x),
[vc10] "w" (v8c10), [vc3] "w" (vc3)
: "d0","d1","d2","d3","d4","d5","d6","d7","d8","d9","d10","d11","d12","d13","d14","d15"
);
#else
uint8x8_t s0 = vld1_u8(srow0 + x);
uint8x8_t s1 = vld1_u8(srow1 + x);
uint8x8_t s2 = vld1_u8(srow2 + x);
int16x8_t s1x10 = vreinterpretq_s16_u16(vmull_u8(s1, v8c10));
int16x8_t s02 = vreinterpretq_s16_u16(vaddl_u8(s2, s0));
int16x8_t t1 = vreinterpretq_s16_u16(vsubl_u8(s2, s0));
int16x8_t t0 = vmlaq_s16(s1x10, s02, vc3);
vst1q_s16(trow1 + x, t1);
vst1q_s16(trow0 + x, t0);
#endif
}
for( ; x < colsn; x++ )
{
trow0[x] = (s16)((srow0[x] + srow2[x])*3 + srow1[x]*10);
trow1[x] = (s16)(srow2[x] - srow0[x]);
}
// make border
size_t x0 = (size.width > 1 ? cn : 0), x1 = (size.width > 1 ? (size.width-2)*cn : 0);
for( s32 k = 0; k < cn; k++ )
{
trow0[-cn + k] = trow0[x0 + k]; trow0[colsn + k] = trow0[x1 + k];
trow1[-cn + k] = trow1[x0 + k]; trow1[colsn + k] = trow1[x1 + k];
}
// do horizontal convolution, interleave the results and store them to dst
x = 0;
for( ; x < roiw8; x += 8 )
{
#if !defined(__aarch64__) && defined(__GNUC__) && __GNUC__ == 4 && __GNUC_MINOR__ < 6 && !defined(__clang__)
__asm__ (
"vld1.16 {d4-d5}, [%[s2ptr]] \n\t"
"vld1.16 {d8-d9}, [%[s4ptr]] \n\t"
"vld1.16 {d6-d7}, [%[s3ptr],:128] \n\t"
"vld1.16 {d0-d1}, [%[s0ptr]] \n\t"
"vld1.16 {d2-d3}, [%[s1ptr]] \n\t"
"vadd.i16 q7, q2, q4 \n\t"
"vmul.s16 q6, q3, %q[vc10] \n\t"
"vsub.s16 q5, q1, q0 \n\t"
"vmla.s16 q6, q7, %q[vc3] \n\t"
"vst2.16 {d10-d13}, [%[out]] \n\t"
:
: [out] "r" (drow + x * 2),
[s0ptr] "r" (trow0 + x - cn),
[s1ptr] "r" (trow0 + x + cn),
[s2ptr] "r" (trow1 + x - cn),
[s3ptr] "r" (trow1 + x),
[s4ptr] "r" (trow1 + x + cn),
[vc10] "w" (vc10), [vc3] "w" (vc3)
: "d0","d1","d2","d3","d4","d5","d6","d7","d8","d9","d10","d11","d12","d13","d14","d15"
);
#else
int16x8_t s0 = vld1q_s16(trow0 + x - cn);
int16x8_t s1 = vld1q_s16(trow0 + x + cn);
int16x8_t s2 = vld1q_s16(trow1 + x - cn);
int16x8_t s3 = vld1q_s16(trow1 + x);
int16x8_t s4 = vld1q_s16(trow1 + x + cn);
int16x8_t s3x10 = vmulq_s16(s3, vc10);
int16x8_t s24 = vaddq_s16(s2, s4);
int16x8x2_t vr;
vr.val[0] = vsubq_s16(s1, s0);
vr.val[1] = vmlaq_s16(s3x10, s24, vc3);
vst2q_s16(drow + x*2, vr);
#endif
}
for( ; x < colsn; x++ )
{
drow[x*2] = (s16)(trow0[x+cn] - trow0[x-cn]);
drow[x*2+1] = (s16)((trow1[x+cn] + trow1[x-cn])*3 + trow1[x]*10);
}
}
#else
(void)size;
(void)cn;
(void)srcBase;
(void)srcStride;
(void)dstBase;
(void)dstStride;
#endif
}
} // namespace CAROTENE_NS
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/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2014-2015, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#include "common.hpp"
#include "separable_filter.hpp"
namespace CAROTENE_NS {
bool isSeparableFilter3x3Supported(const Size2D &size, BORDER_MODE border, s32 dx, s32 dy, Margin borderMargin)
{
return isSupportedConfiguration() &&
size.width >= 9 && size.height >= 1 &&
(size.height + borderMargin.top + borderMargin.bottom) >= 2 &&
(dx >= 0) && (dx < 4) && (dy >= 0) && (dy < 4) &&
(border == BORDER_MODE_CONSTANT ||
border == BORDER_MODE_REFLECT ||
border == BORDER_MODE_REFLECT101 ||
border == BORDER_MODE_REPLICATE );
}
void SeparableFilter3x3(const Size2D &size,
const u8 * srcBase, ptrdiff_t srcStride,
s16 * dstBase, ptrdiff_t dstStride,
const u8 rowFilter, const u8 colFilter, const s16 *xw, const s16 *yw,
BORDER_MODE border, u8 borderValue, Margin borderMargin)
{
internal::assertSupportedConfiguration(isSeparableFilter3x3Supported(size, border, rowFilter, colFilter, borderMargin));
#ifdef CAROTENE_NEON
if(!((xw || rowFilter < 3) && (yw || colFilter < 3)))
std::abort();//Couldn't call generic filter without provided weights
typedef void (*sepFilter3x3_8u16s_func)(const Size2D&, const u8*, ptrdiff_t, s16*, ptrdiff_t,
const s16*, const s16*, BORDER_MODE, u8, Margin);
static sepFilter3x3_8u16s_func quickFilters[4][4]=
{
/*d0y*/{ /*d0x*/ internal::sepFilter3x3<internal::RowFilter3x3S16_121, internal::ColFilter3x3S16_121>::process,
/*dx*/ internal::sepFilter3x3<internal::RowFilter3x3S16_m101, internal::ColFilter3x3S16_121>::process,
/*d2x*/ internal::sepFilter3x3<internal::RowFilter3x3S16_1m21, internal::ColFilter3x3S16_121>::process,
/*dNx*/ internal::sepFilter3x3<internal::RowFilter3x3S16Generic, internal::ColFilter3x3S16_121>::process},
/*dy */{ /*d0x*/ internal::sepFilter3x3<internal::RowFilter3x3S16_121, internal::ColFilter3x3S16_m101>::process,
/*dx*/ internal::sepFilter3x3<internal::RowFilter3x3S16_m101, internal::ColFilter3x3S16_m101>::process,
/*d2x*/ internal::sepFilter3x3<internal::RowFilter3x3S16_1m21, internal::ColFilter3x3S16_m101>::process,
/*dNx*/ internal::sepFilter3x3<internal::RowFilter3x3S16Generic, internal::ColFilter3x3S16_m101>::process},
/*d2y*/{ /*d0x*/ internal::sepFilter3x3<internal::RowFilter3x3S16_121, internal::ColFilter3x3S16_1m21>::process,
/*dx*/ internal::sepFilter3x3<internal::RowFilter3x3S16_m101, internal::ColFilter3x3S16_1m21>::process,
/*d2x*/ internal::sepFilter3x3<internal::RowFilter3x3S16_1m21, internal::ColFilter3x3S16_1m21>::process,
/*dNx*/ internal::sepFilter3x3<internal::RowFilter3x3S16Generic, internal::ColFilter3x3S16_1m21>::process},
/*dNy*/{ /*d0x*/ internal::sepFilter3x3<internal::RowFilter3x3S16_121, internal::ColFilter3x3S16Generic>::process,
/*dx*/ internal::sepFilter3x3<internal::RowFilter3x3S16_m101, internal::ColFilter3x3S16Generic>::process,
/*d2x*/ internal::sepFilter3x3<internal::RowFilter3x3S16_1m21, internal::ColFilter3x3S16Generic>::process,
/*dNx*/ internal::sepFilter3x3<internal::RowFilter3x3S16Generic, internal::ColFilter3x3S16Generic>::process}
};
quickFilters[colFilter][rowFilter](size, srcBase, srcStride, dstBase, dstStride,
xw, yw, border, borderValue, borderMargin);
#else
(void)srcBase;
(void)srcStride;
(void)dstBase;
(void)dstStride;
(void)xw;
(void)yw;
(void)borderValue;
#endif
}
} // namespace CAROTENE_NS
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/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2012-2015, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#include <vector>
#include "common.hpp"
namespace CAROTENE_NS {
bool isSobel3x3Supported(const Size2D &size, BORDER_MODE border,
s32 dx, s32 dy, Margin borderMargin)
{
return dx < 3 && dx >= 0 &&
dy < 3 && dy >= 0 &&
(dx + dy) > 0 &&
isSeparableFilter3x3Supported(size, border, dx, dy, borderMargin);
}
void Sobel3x3(const Size2D &size,
const u8 * srcBase, ptrdiff_t srcStride,
s16 * dstBase, ptrdiff_t dstStride,
s32 dx, s32 dy,
BORDER_MODE borderType, u8 borderValue, Margin borderMargin)
{
internal::assertSupportedConfiguration(isSobel3x3Supported(size, borderType, dx, dy, borderMargin));
#ifdef CAROTENE_NEON
SeparableFilter3x3(size, srcBase, srcStride, dstBase, dstStride,
dx, dy, 0, 0,
borderType, borderValue, borderMargin);
#else
(void)srcBase;
(void)srcStride;
(void)dstBase;
(void)dstStride;
(void)borderValue;
#endif
}
bool isSobel3x3f32Supported(const Size2D &size, BORDER_MODE border,
s32 dx, s32 dy)
{
return isSupportedConfiguration() &&
dx < 3 && dx >= 0 &&
dy < 3 && dy >= 0 &&
(dx + dy) > 0 &&
size.width >= 4 && size.height >= 2 &&
(border == BORDER_MODE_CONSTANT ||
border == BORDER_MODE_REFLECT ||
border == BORDER_MODE_REFLECT101 ||
border == BORDER_MODE_REPLICATE );
}
void Sobel3x3(const Size2D &size,
const f32 * srcBase, ptrdiff_t srcStride,
f32 * dstBase, ptrdiff_t dstStride,
s32 dx, s32 dy,
BORDER_MODE borderType, f32 borderValue)
{
internal::assertSupportedConfiguration(isSobel3x3f32Supported(size, borderType, dx, dy));
#ifdef CAROTENE_NEON
std::vector<f32> _tmp;
f32 *tmp = 0;
if (borderType == BORDER_MODE_CONSTANT)
{
_tmp.assign(size.width + 2, borderValue);
tmp = &_tmp[1];
}
ptrdiff_t delta = (ptrdiff_t)((size.width + 2 + 31) & -32);//align size
std::vector<f32> _tempBuf((delta << 1) + 64);
f32 *trow0 = internal::alignPtr(&_tempBuf[1], 32), *trow1 = internal::alignPtr(trow0 + delta, 32);
for( size_t y = 0; y < size.height; y++ )
{
const f32* srow0;
const f32* srow1 = internal::getRowPtr(srcBase, srcStride, y);
const f32* srow2;
f32* drow = internal::getRowPtr(dstBase, dstStride, y > 0 ? y-1 : 0);
f32* drow1 = internal::getRowPtr(dstBase, dstStride, y);
if (borderType == BORDER_MODE_REFLECT101) {
srow0 = internal::getRowPtr(srcBase, srcStride, y > 0 ? y-1 : 1);
srow2 = internal::getRowPtr(srcBase, srcStride, y < size.height-1 ? y+1 : size.height-2);
} else if (borderType == BORDER_MODE_CONSTANT) {
srow0 = y > 0 ? internal::getRowPtr(srcBase, srcStride, y-1) : tmp;
srow2 = y < size.height-1 ? internal::getRowPtr(srcBase, srcStride, y+1) : tmp;
} else { // BORDER_MODE_REFLECT || BORDER_MODE_REPLICATE
srow0 = internal::getRowPtr(srcBase, srcStride, y > 0 ? y-1 : 0);
srow2 = internal::getRowPtr(srcBase, srcStride, y < size.height-1 ? y+1 : size.height-1);
}
float32x4_t tprev = vmovq_n_f32(0.f);
float32x4_t tcurr = vmovq_n_f32(0.f);
float32x4_t tnext = vmovq_n_f32(0.f);
float32x4_t t0, t1, t2;
// do vertical convolution
size_t x = 0, bcolsn = y + 2 < size.height ? size.width : (size.width - 4);
for( ; x <= bcolsn; x += 4 )
{
internal::prefetch(srow0 + x);
internal::prefetch(srow1 + x);
internal::prefetch(srow2 + x);
float32x4_t x0 = vld1q_f32(srow0 + x);
float32x4_t x1 = vld1q_f32(srow1 + x);
float32x4_t x2 = vld1q_f32(srow2 + x);
tprev = tcurr;
tcurr = tnext;
if(!dy)
{
tnext = vaddq_f32(vaddq_f32(vaddq_f32(x1, x1), x2), x0);
}
else if(dy == 2)
{
tnext = vsubq_f32(vsubq_f32(x2, x1), vsubq_f32(x1, x0));
}
else
{
tnext = vsubq_f32(x2, x0);
}
if(!x) {
tcurr = tnext;
// make border
if (borderType == BORDER_MODE_CONSTANT)
{
tcurr = vsetq_lane_f32(borderValue,tcurr, 3);
}
else if (borderType == BORDER_MODE_REFLECT101)
{
tcurr = vsetq_lane_f32(vgetq_lane_f32(tcurr, 1),tcurr, 3);
}
else // BORDER_MODE_REFLECT || BORDER_MODE_REPLICATE
{
tcurr = vsetq_lane_f32(vgetq_lane_f32(tcurr, 0),tcurr, 3);
}
continue;
}
internal::prefetch(trow0 + x);
internal::prefetch(trow1 + x);
t0 = vextq_f32(tprev, tcurr, 3);
t1 = tcurr;
t2 = vextq_f32(tcurr, tnext, 1);
if(!dx)
{
t0 = vaddq_f32(t0, vaddq_f32(vaddq_f32(t1, t1), t2));
}
else if(dx == 2)
{
t0 = vsubq_f32(vsubq_f32(t2, t1), vsubq_f32(t1, t0));
}
else
{
t0 = vsubq_f32(t2, t0);
}
if(!(y%2))
{
vst1q_f32(trow0 + x - 4, t0);
}
else
{
vst1q_f32(trow1 + x - 4, t0);
}
}
x -= 4;
if(x == size.width){
x--;
}
f32 prevx = 0, rowx = 0, nextx = 0;
if(!dy)
{
prevx = x > 0 ? srow2[x-1] + 2*srow1[x-1] + srow0[x-1] :
(borderType == BORDER_MODE_REFLECT101 ? srow2[1] + 2*srow1[1] + srow0[1] :
(borderType == BORDER_MODE_CONSTANT ? 4*borderValue :
srow2[0] + 2*srow1[0] + srow0[0]) );
rowx = srow2[x] + 2*srow1[x] + srow0[x];
}
else if(dy == 2)
{
prevx = x > 0 ? srow2[x-1] - 2*srow1[x-1] + srow0[x-1] :
(borderType == BORDER_MODE_REFLECT101 ? srow2[1] - 2*srow1[1] + srow0[1] :
(borderType == BORDER_MODE_CONSTANT ? 0.f :
srow2[0] - 2*srow1[0] + srow0[0]) );
rowx = srow2[x] - 2*srow1[x] + srow0[x];
}
else
{
prevx = x > 0 ? srow2[x-1] - srow0[x-1] :
(borderType == BORDER_MODE_REFLECT101 ? srow2[1] - srow0[1] :
(borderType == BORDER_MODE_CONSTANT ? 0.f :
srow2[0] - srow0[0]) );
rowx = srow2[x] - srow0[x];
}
for( ; x < size.width; x++ )
{
if(x+1 == size.width) {
// make border
if (borderType == BORDER_MODE_CONSTANT)
{
if(!dy) {
nextx = 4*borderValue;
} else {
nextx = 0.f;
}
} else if (borderType == BORDER_MODE_REFLECT101)
{
if(!dy) {
nextx = srow2[x-1] + 2*srow1[x-1] + srow0[x-1];
} else if(dy == 2) {
nextx = srow2[x-1] - 2*srow1[x-1] + srow0[x-1];
} else {
nextx = srow2[x-1] - srow0[x-1];
}
} else {
if(!dy) {
nextx = srow2[x] + 2*srow1[x] + srow0[x];
} else if(dy == 2) {
nextx = srow2[x] - 2*srow1[x] + srow0[x];
} else {
nextx = srow2[x] - srow0[x];
}
}
} else {
if(!dy) {
nextx = srow2[x+1] + 2*srow1[x+1] + srow0[x+1];
} else if(dy == 2) {
nextx = srow2[x+1] - 2*srow1[x+1] + srow0[x+1];
} else {
nextx = srow2[x+1] - srow0[x+1];
}
}
f32 res;
if(dx==1) {
res = nextx - prevx;
} else if(!dx) {
res = prevx + 2*rowx + nextx;
} else {
res = prevx - 2*rowx + nextx;
}
if(!(y%2)) {
*(trow0+x) = res;
} else {
*(trow1+x) = res;
}
prevx = rowx;
rowx = nextx;
}
if(y>0) {
for(size_t x1 = 0; x1 < size.width; x1++ )
{
if(y%2)
*(drow + x1) = trow0[x1];
else
*(drow + x1) = trow1[x1];
}
}
if(y == size.height-1) {
for(size_t x1 = 0; x1 < size.width; x1++ )
{
if(!(y%2))
*(drow1 + x1) = trow0[x1];
else
*(drow1 + x1) = trow1[x1];
}
}
}
#else
(void)srcBase;
(void)srcStride;
(void)dstBase;
(void)dstStride;
(void)borderValue;
#endif
}
} // namespace CAROTENE_NS
+621
View File
@@ -0,0 +1,621 @@
/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2014, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#include "common.hpp"
#include "vtransform.hpp"
namespace CAROTENE_NS {
#ifdef CAROTENE_NEON
namespace {
template <typename T, typename WT>
struct SubWrap
{
typedef T type;
void operator() (const typename internal::VecTraits<T>::vec128 & v_src0,
const typename internal::VecTraits<T>::vec128 & v_src1,
typename internal::VecTraits<T>::vec128 & v_dst) const
{
v_dst = internal::vsubq(v_src0, v_src1);
}
void operator() (const typename internal::VecTraits<T>::vec64 & v_src0,
const typename internal::VecTraits<T>::vec64 & v_src1,
typename internal::VecTraits<T>::vec64 & v_dst) const
{
v_dst = internal::vsub(v_src0, v_src1);
}
void operator() (const T * src0, const T * src1, T * dst) const
{
dst[0] = (T)((WT)src0[0] - (WT)src1[0]);
}
};
template <typename T, typename WT>
struct SubSaturate
{
typedef T type;
void operator() (const typename internal::VecTraits<T>::vec128 & v_src0,
const typename internal::VecTraits<T>::vec128 & v_src1,
typename internal::VecTraits<T>::vec128 & v_dst) const
{
v_dst = internal::vqsubq(v_src0, v_src1);
}
void operator() (const typename internal::VecTraits<T>::vec64 & v_src0,
const typename internal::VecTraits<T>::vec64 & v_src1,
typename internal::VecTraits<T>::vec64 & v_dst) const
{
v_dst = internal::vqsub(v_src0, v_src1);
}
void operator() (const T * src0, const T * src1, T * dst) const
{
dst[0] = internal::saturate_cast<T>((WT)src0[0] - (WT)src1[0]);
}
};
} // namespace
#endif
void sub(const Size2D &size,
const u8 * src0Base, ptrdiff_t src0Stride,
const u8 * src1Base, ptrdiff_t src1Stride,
u8 *dstBase, ptrdiff_t dstStride,
CONVERT_POLICY policy)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
if (policy == CONVERT_POLICY_SATURATE)
{
internal::vtransform(size,
src0Base, src0Stride,
src1Base, src1Stride,
dstBase, dstStride,
SubSaturate<u8, s16>());
}
else
{
internal::vtransform(size,
src0Base, src0Stride,
src1Base, src1Stride,
dstBase, dstStride,
SubWrap<u8, s16>());
}
#else
(void)size;
(void)src0Base;
(void)src0Stride;
(void)src1Base;
(void)src1Stride;
(void)dstBase;
(void)dstStride;
(void)policy;
#endif
}
void sub(const Size2D &size,
const u8 * src0Base, ptrdiff_t src0Stride,
const u8 * src1Base, ptrdiff_t src1Stride,
s16 *dstBase, ptrdiff_t dstStride,
CONVERT_POLICY)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
size_t roiw32 = size.width >= 31 ? size.width - 31 : 0;
size_t roiw8 = size.width >= 7 ? size.width - 7 : 0;
for (size_t i = 0; i < size.height; ++i)
{
const u8 * src0 = internal::getRowPtr(src0Base, src0Stride, i);
const u8 * src1 = internal::getRowPtr(src1Base, src1Stride, i);
u16 * dstu16 = internal::getRowPtr((u16 *)dstBase, dstStride, i);
s16 * dst = internal::getRowPtr(dstBase, dstStride, i);
size_t j = 0;
for (; j < roiw32; j += 32)
{
internal::prefetch(src0 + j);
internal::prefetch(src1 + j);
uint8x16_t v_src00 = vld1q_u8(src0 + j), v_src01 = vld1q_u8(src0 + j + 16);
uint8x16_t v_src10 = vld1q_u8(src1 + j), v_src11 = vld1q_u8(src1 + j + 16);
vst1q_u16(dstu16 + j, vsubl_u8(vget_low_u8(v_src00), vget_low_u8(v_src10)));
vst1q_u16(dstu16 + j + 8, vsubl_u8(vget_high_u8(v_src00), vget_high_u8(v_src10)));
vst1q_u16(dstu16 + j + 16, vsubl_u8(vget_low_u8(v_src01), vget_low_u8(v_src11)));
vst1q_u16(dstu16 + j + 24, vsubl_u8(vget_high_u8(v_src01), vget_high_u8(v_src11)));
}
for (; j < roiw8; j += 8)
{
uint8x8_t v_src0 = vld1_u8(src0 + j);
uint8x8_t v_src1 = vld1_u8(src1 + j);
vst1q_u16(dstu16 + j, vsubl_u8(v_src0, v_src1));
}
for (; j < size.width; j++)
dst[j] = (s16)src0[j] - (s16)src1[j];
}
#else
(void)size;
(void)src0Base;
(void)src0Stride;
(void)src1Base;
(void)src1Stride;
(void)dstBase;
(void)dstStride;
#endif
}
void sub(const Size2D &size,
const u8 * src0Base, ptrdiff_t src0Stride,
const u8 * src1Base, ptrdiff_t src1Stride,
f32 *dstBase, ptrdiff_t dstStride)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
size_t roiw32 = size.width >= 31 ? size.width - 31 : 0;
size_t roiw8 = size.width >= 7 ? size.width - 7 : 0;
for (size_t i = 0; i < size.height; ++i)
{
const u8 * src0 = internal::getRowPtr(src0Base, src0Stride, i);
const u8 * src1 = internal::getRowPtr(src1Base, src1Stride, i);
f32 * dst = internal::getRowPtr(dstBase, dstStride, i);
size_t j = 0;
for (; j < roiw32; j += 32)
{
internal::prefetch(src0 + j);
internal::prefetch(src1 + j);
uint8x16_t v_src00 = vld1q_u8(src0 + j), v_src01 = vld1q_u8(src0 + j + 16);
uint8x16_t v_src10 = vld1q_u8(src1 + j), v_src11 = vld1q_u8(src1 + j + 16);
int16x8_t vsl = vreinterpretq_s16_u16(vsubl_u8( vget_low_u8(v_src00), vget_low_u8(v_src10)));
int16x8_t vsh = vreinterpretq_s16_u16(vsubl_u8(vget_high_u8(v_src00), vget_high_u8(v_src10)));
vst1q_f32(dst + j + 0, vcvtq_f32_s32(vmovl_s16( vget_low_s16(vsl) )));
vst1q_f32(dst + j + 4, vcvtq_f32_s32(vmovl_s16( vget_high_s16(vsl) )));
vst1q_f32(dst + j + 8, vcvtq_f32_s32(vmovl_s16( vget_low_s16(vsh) )));
vst1q_f32(dst + j + 12, vcvtq_f32_s32(vmovl_s16( vget_high_s16(vsh) )));
vsl = vreinterpretq_s16_u16(vsubl_u8( vget_low_u8(v_src01), vget_low_u8(v_src11)));
vsh = vreinterpretq_s16_u16(vsubl_u8(vget_high_u8(v_src01), vget_high_u8(v_src11)));
vst1q_f32(dst + j + 16, vcvtq_f32_s32(vmovl_s16( vget_low_s16(vsl) )));
vst1q_f32(dst + j + 20, vcvtq_f32_s32(vmovl_s16( vget_high_s16(vsl) )));
vst1q_f32(dst + j + 24, vcvtq_f32_s32(vmovl_s16( vget_low_s16(vsh) )));
vst1q_f32(dst + j + 28, vcvtq_f32_s32(vmovl_s16( vget_high_s16(vsh) )));
}
for (; j < roiw8; j += 8)
{
uint8x8_t v_src0 = vld1_u8(src0 + j);
uint8x8_t v_src1 = vld1_u8(src1 + j);
int16x8_t vs = vreinterpretq_s16_u16(vsubl_u8(v_src0, v_src1));
vst1q_f32(dst + j + 0, vcvtq_f32_s32(vmovl_s16( vget_low_s16(vs) )));
vst1q_f32(dst + j + 4, vcvtq_f32_s32(vmovl_s16( vget_high_s16(vs) )));
}
for(; j < size.width; j++)
dst[j] = (f32)src0[j] - (f32)src1[j];
}
#else
(void)size;
(void)src0Base;
(void)src0Stride;
(void)src1Base;
(void)src1Stride;
(void)dstBase;
(void)dstStride;
#endif
}
void sub(const Size2D &size,
const u8 * src0Base, ptrdiff_t src0Stride,
const s16 * src1Base, ptrdiff_t src1Stride,
s16 *dstBase, ptrdiff_t dstStride,
CONVERT_POLICY policy)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
size_t roiw16 = size.width >= 15 ? size.width - 15 : 0;
size_t roiw8 = size.width >= 7 ? size.width - 7 : 0;
for (size_t i = 0; i < size.height; ++i)
{
const u8 * src0 = internal::getRowPtr(src0Base, src0Stride, i);
const s16 * src1 = internal::getRowPtr(src1Base, src1Stride, i);
s16 * dst = internal::getRowPtr(dstBase, dstStride, i);
size_t j = 0;
if (policy == CONVERT_POLICY_SATURATE)
{
for (; j < roiw16; j += 16)
{
internal::prefetch(src0 + j);
internal::prefetch(src1 + j);
uint8x16_t v_src0 = vld1q_u8(src0 + j);
int16x8_t v_src00 = vreinterpretq_s16_u16(vmovl_u8(vget_low_u8(v_src0)));
int16x8_t v_src01 = vreinterpretq_s16_u16(vmovl_u8(vget_high_u8(v_src0)));
int16x8_t v_src10 = vld1q_s16(src1 + j), v_src11 = vld1q_s16(src1 + j + 8);
int16x8_t v_dst0 = vqsubq_s16(v_src00, v_src10);
int16x8_t v_dst1 = vqsubq_s16(v_src01, v_src11);
vst1q_s16(dst + j, v_dst0);
vst1q_s16(dst + j + 8, v_dst1);
}
for (; j < roiw8; j += 8)
{
int16x8_t v_src0 = vreinterpretq_s16_u16(vmovl_u8(vld1_u8(src0 + j)));
int16x8_t v_src1 = vld1q_s16(src1 + j);
int16x8_t v_dst = vqsubq_s16(v_src0, v_src1);
vst1q_s16(dst + j, v_dst);
}
for (; j < size.width; j++)
dst[j] = internal::saturate_cast<s16>((s32)src0[j] - (s32)src1[j]);
}
else
{
for (; j < roiw16; j += 16)
{
internal::prefetch(src0 + j);
internal::prefetch(src1 + j);
uint8x16_t v_src0 = vld1q_u8(src0 + j);
int16x8_t v_src00 = vreinterpretq_s16_u16(vmovl_u8(vget_low_u8(v_src0)));
int16x8_t v_src01 = vreinterpretq_s16_u16(vmovl_u8(vget_high_u8(v_src0)));
int16x8_t v_src10 = vld1q_s16(src1 + j), v_src11 = vld1q_s16(src1 + j + 8);
int16x8_t v_dst0 = vsubq_s16(v_src00, v_src10);
int16x8_t v_dst1 = vsubq_s16(v_src01, v_src11);
vst1q_s16(dst + j, v_dst0);
vst1q_s16(dst + j + 8, v_dst1);
}
for (; j < roiw8; j += 8)
{
int16x8_t v_src0 = vreinterpretq_s16_u16(vmovl_u8(vld1_u8(src0 + j)));
int16x8_t v_src1 = vld1q_s16(src1 + j);
int16x8_t v_dst = vsubq_s16(v_src0, v_src1);
vst1q_s16(dst + j, v_dst);
}
for (; j < size.width; j++)
dst[j] = (s16)((s32)src0[j] - (s32)src1[j]);
}
}
#else
(void)size;
(void)src0Base;
(void)src0Stride;
(void)src1Base;
(void)src1Stride;
(void)dstBase;
(void)dstStride;
(void)policy;
#endif
}
void sub(const Size2D &size,
const s16 * src0Base, ptrdiff_t src0Stride,
const u8 * src1Base, ptrdiff_t src1Stride,
s16 *dstBase, ptrdiff_t dstStride,
CONVERT_POLICY policy)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
size_t roiw16 = size.width >= 15 ? size.width - 15 : 0;
size_t roiw8 = size.width >= 7 ? size.width - 7 : 0;
for (size_t i = 0; i < size.height; ++i)
{
const s16 * src0 = internal::getRowPtr(src0Base, src0Stride, i);
const u8 * src1 = internal::getRowPtr(src1Base, src1Stride, i);
s16 * dst = internal::getRowPtr(dstBase, dstStride, i);
size_t j = 0;
if (policy == CONVERT_POLICY_SATURATE)
{
for (; j < roiw16; j += 16)
{
internal::prefetch(src0 + j);
internal::prefetch(src1 + j);
int16x8_t v_src00 = vld1q_s16(src0 + j), v_src01 = vld1q_s16(src0 + j + 8);
uint8x16_t v_src1 = vld1q_u8(src1 + j);
int16x8_t v_src10 = vreinterpretq_s16_u16(vmovl_u8(vget_low_u8(v_src1)));
int16x8_t v_src11 = vreinterpretq_s16_u16(vmovl_u8(vget_high_u8(v_src1)));
int16x8_t v_dst0 = vqsubq_s16(v_src00, v_src10);
int16x8_t v_dst1 = vqsubq_s16(v_src01, v_src11);
vst1q_s16(dst + j, v_dst0);
vst1q_s16(dst + j + 8, v_dst1);
}
for (; j < roiw8; j += 8)
{
int16x8_t v_src0 = vld1q_s16(src0 + j);
int16x8_t v_src1 = vreinterpretq_s16_u16(vmovl_u8(vld1_u8(src1 + j)));
int16x8_t v_dst = vqsubq_s16(v_src0, v_src1);
vst1q_s16(dst + j, v_dst);
}
for (; j < size.width; j++)
dst[j] = internal::saturate_cast<s16>((s32)src0[j] - (s32)src1[j]);
}
else
{
for (; j < roiw16; j += 16)
{
internal::prefetch(src0 + j);
internal::prefetch(src1 + j);
int16x8_t v_src00 = vld1q_s16(src0 + j), v_src01 = vld1q_s16(src0 + j + 8);
uint8x16_t v_src1 = vld1q_u8(src1 + j);
int16x8_t v_src10 = vreinterpretq_s16_u16(vmovl_u8(vget_low_u8(v_src1)));
int16x8_t v_src11 = vreinterpretq_s16_u16(vmovl_u8(vget_high_u8(v_src1)));
int16x8_t v_dst0 = vsubq_s16(v_src00, v_src10);
int16x8_t v_dst1 = vsubq_s16(v_src01, v_src11);
vst1q_s16(dst + j, v_dst0);
vst1q_s16(dst + j + 8, v_dst1);
}
for (; j < roiw8; j += 8)
{
int16x8_t v_src0 = vld1q_s16(src0 + j);
int16x8_t v_src1 = vreinterpretq_s16_u16(vmovl_u8(vld1_u8(src1 + j)));
int16x8_t v_dst = vsubq_s16(v_src0, v_src1);
vst1q_s16(dst + j, v_dst);
}
for (; j < size.width; j++)
dst[j] = (s16)((s32)src0[j] - (s32)src1[j]);
}
}
#else
(void)size;
(void)src0Base;
(void)src0Stride;
(void)src1Base;
(void)src1Stride;
(void)dstBase;
(void)dstStride;
(void)policy;
#endif
}
void sub(const Size2D &size,
const s8 * src0Base, ptrdiff_t src0Stride,
const s8 * src1Base, ptrdiff_t src1Stride,
s8 *dstBase, ptrdiff_t dstStride,
CONVERT_POLICY policy)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
if (policy == CONVERT_POLICY_SATURATE)
{
internal::vtransform(size,
src0Base, src0Stride,
src1Base, src1Stride,
dstBase, dstStride,
SubSaturate<s8, s16>());
}
else
{
internal::vtransform(size,
src0Base, src0Stride,
src1Base, src1Stride,
dstBase, dstStride,
SubWrap<s8, s16>());
}
#else
(void)size;
(void)src0Base;
(void)src0Stride;
(void)src1Base;
(void)src1Stride;
(void)dstBase;
(void)dstStride;
(void)policy;
#endif
}
void sub(const Size2D &size,
const s16 * src0Base, ptrdiff_t src0Stride,
const s16 * src1Base, ptrdiff_t src1Stride,
s16 *dstBase, ptrdiff_t dstStride,
CONVERT_POLICY policy)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
if (policy == CONVERT_POLICY_SATURATE)
{
internal::vtransform(size,
src0Base, src0Stride,
src1Base, src1Stride,
dstBase, dstStride,
SubSaturate<s16, s32>());
}
else
{
internal::vtransform(size,
src0Base, src0Stride,
src1Base, src1Stride,
dstBase, dstStride,
SubWrap<s16, s32>());
}
#else
(void)size;
(void)src0Base;
(void)src0Stride;
(void)src1Base;
(void)src1Stride;
(void)dstBase;
(void)dstStride;
(void)policy;
#endif
}
void sub(const Size2D &size,
const u16 * src0Base, ptrdiff_t src0Stride,
const u16 * src1Base, ptrdiff_t src1Stride,
u16 *dstBase, ptrdiff_t dstStride,
CONVERT_POLICY policy)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
if (policy == CONVERT_POLICY_SATURATE)
{
internal::vtransform(size,
src0Base, src0Stride,
src1Base, src1Stride,
dstBase, dstStride,
SubSaturate<u16, s32>());
}
else
{
internal::vtransform(size,
src0Base, src0Stride,
src1Base, src1Stride,
dstBase, dstStride,
SubWrap<u16, s32>());
}
#else
(void)size;
(void)src0Base;
(void)src0Stride;
(void)src1Base;
(void)src1Stride;
(void)dstBase;
(void)dstStride;
(void)policy;
#endif
}
void sub(const Size2D &size,
const s32 * src0Base, ptrdiff_t src0Stride,
const s32 * src1Base, ptrdiff_t src1Stride,
s32 *dstBase, ptrdiff_t dstStride,
CONVERT_POLICY policy)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
if (policy == CONVERT_POLICY_SATURATE)
{
internal::vtransform(size,
src0Base, src0Stride,
src1Base, src1Stride,
dstBase, dstStride,
SubSaturate<s32, s64>());
}
else
{
internal::vtransform(size,
src0Base, src0Stride,
src1Base, src1Stride,
dstBase, dstStride,
SubWrap<s32, s64>());
}
#else
(void)size;
(void)src0Base;
(void)src0Stride;
(void)src1Base;
(void)src1Stride;
(void)dstBase;
(void)dstStride;
(void)policy;
#endif
}
void sub(const Size2D &size,
const u32 * src0Base, ptrdiff_t src0Stride,
const u32 * src1Base, ptrdiff_t src1Stride,
u32 *dstBase, ptrdiff_t dstStride,
CONVERT_POLICY policy)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
if (policy == CONVERT_POLICY_SATURATE)
{
internal::vtransform(size,
src0Base, src0Stride,
src1Base, src1Stride,
dstBase, dstStride,
SubSaturate<u32, s64>());
}
else
{
internal::vtransform(size,
src0Base, src0Stride,
src1Base, src1Stride,
dstBase, dstStride,
SubWrap<u32, s64>());
}
#else
(void)size;
(void)src0Base;
(void)src0Stride;
(void)src1Base;
(void)src1Stride;
(void)dstBase;
(void)dstStride;
(void)policy;
#endif
}
void sub(const Size2D &size,
const f32 * src0Base, ptrdiff_t src0Stride,
const f32 * src1Base, ptrdiff_t src1Stride,
f32 *dstBase, ptrdiff_t dstStride)
{
internal::assertSupportedConfiguration();
#ifdef CAROTENE_NEON
internal::vtransform(size,
src0Base, src0Stride,
src1Base, src1Stride,
dstBase, dstStride,
SubWrap<f32, f32>());
#else
(void)size;
(void)src0Base;
(void)src0Stride;
(void)src1Base;
(void)src1Stride;
(void)dstBase;
(void)dstStride;
#endif
}
} // namespace CAROTENE_NS
+385
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/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2012-2015, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#include "common.hpp"
#include "vtransform.hpp"
namespace CAROTENE_NS {
bool isSumSupported(u32 channels)
{
return (channels && channels < 5);
}
void sum(const Size2D &_size,
const u8 * srcBase, ptrdiff_t srcStride,
u32 * sumdst, u32 channels)
{
internal::assertSupportedConfiguration(isSumSupported(channels));
#ifdef CAROTENE_NEON
Size2D size(_size);
if (srcStride == (ptrdiff_t)(size.width))
{
size.width *= size.height;
size.height = 1;
}
const ptrdiff_t width = size.width * channels;
for(size_t k = 0; k < size.height; ++k)
{
const u8* src = internal::getRowPtr( srcBase, srcStride, k);
ptrdiff_t i = 0;
if (channels == 3)
{
uint32x4_t vs1231 = vdupq_n_u32(0);
uint32x4_t vs3123 = vdupq_n_u32(0);
uint32x4_t vs2312 = vdupq_n_u32(0);
for (; i <= width - 257*8*3; i += 257*8*3, src += 257*8*3)
{
uint16x8_t s1 = vmovl_u8(vld1_u8(src + 0));
uint16x8_t s2 = vmovl_u8(vld1_u8(src + 8));
uint16x8_t s3 = vmovl_u8(vld1_u8(src + 16));
for (ptrdiff_t j = 8*3; j < 257*8*3; j+= 8*3)
{
internal::prefetch(src + j + 24);
s1 = vaddw_u8(s1, vld1_u8(src + j + 0));
s2 = vaddw_u8(s2, vld1_u8(src + j + 8));
s3 = vaddw_u8(s3, vld1_u8(src + j + 16));
}
vs1231 = vqaddq_u32(vs1231, vaddl_u16(vget_low_u16(s1), vget_high_u16(s2)));
vs3123 = vqaddq_u32(vs3123, vaddl_u16(vget_low_u16(s2), vget_high_u16(s3)));
vs2312 = vqaddq_u32(vs2312, vaddl_u16(vget_low_u16(s3), vget_high_u16(s1)));
}
if (i <= width - 8*3)
{
uint16x8_t s1 = vmovl_u8(vld1_u8(src + 0));
uint16x8_t s2 = vmovl_u8(vld1_u8(src + 8));
uint16x8_t s3 = vmovl_u8(vld1_u8(src + 16));
for (i += 8*3, src += 8*3; i <= width - 8*3; i += 8*3, src += 8*3)
{
internal::prefetch(src + 24);
s1 = vaddw_u8(s1, vld1_u8(src + 0));
s2 = vaddw_u8(s2, vld1_u8(src + 8));
s3 = vaddw_u8(s3, vld1_u8(src + 16));
}
vs1231 = vqaddq_u32(vs1231, vaddl_u16(vget_low_u16(s1), vget_high_u16(s2)));
vs3123 = vqaddq_u32(vs3123, vaddl_u16(vget_low_u16(s2), vget_high_u16(s3)));
vs2312 = vqaddq_u32(vs2312, vaddl_u16(vget_low_u16(s3), vget_high_u16(s1)));
}
u32 sum[12];
vst1q_u32(sum+0, vs1231);
vst1q_u32(sum+4, vs2312);
vst1q_u32(sum+8, vs3123);
for (; i < width; i += 3, src += 3)
{
sumdst[0] += src[0];
sumdst[1] += src[1];
sumdst[2] += src[2];
}
sumdst[0] += sum[0] + sum[3] + sum[6] + sum[9];
sumdst[1] += sum[1] + sum[4] + sum[7] + sum[10];
sumdst[2] += sum[2] + sum[5] + sum[8] + sum[11];
}
else
{
uint32x4_t vs = vdupq_n_u32(0);
for (; i <= width - 257*8; i += 257*8, src += 257 * 8)
{
uint16x8_t s1 = vmovl_u8(vld1_u8(src));
for (int j = 8; j < 257 * 8; j += 8)
{
internal::prefetch(src + j);
s1 = vaddw_u8(s1, vld1_u8(src + j));
}
vs = vqaddq_u32(vs, vaddl_u16(vget_low_u16(s1), vget_high_u16(s1)));
}
if (i < width - 7)
{
uint16x8_t s1 = vmovl_u8(vld1_u8(src));
for(i+=8,src+=8; i < width-7; i+=8,src+=8)
{
internal::prefetch(src);
s1 = vaddw_u8(s1, vld1_u8(src));
}
vs = vqaddq_u32(vs, vaddl_u16(vget_low_u16(s1), vget_high_u16(s1)));
}
if (channels == 1)
{
uint32x2_t vs2 = vqadd_u32(vget_low_u32(vs), vget_high_u32(vs));
uint32x2_t vs1 = vreinterpret_u32_u64(vpaddl_u32(vs2));
u32 s0 = vget_lane_u32(vs1, 0);
for(; i < width; ++i,++src)
s0 += src[0];
sumdst[0] += s0;
}
else if (channels == 4)
{
vst1q_u32(sumdst, vqaddq_u32(vs, vld1q_u32(sumdst)));
for(; i < width; i+=4,src+=4)
{
sumdst[0] += src[0];
sumdst[1] += src[1];
sumdst[2] += src[2];
sumdst[3] += src[3];
}
}
else//if (channels == 2)
{
uint32x2_t vs2 = vqadd_u32(vget_low_u32(vs), vget_high_u32(vs));
vst1_u32(sumdst, vqadd_u32(vs2, vld1_u32(sumdst)));
for(; i < width; i+=2,src+=2)
{
sumdst[0] += src[0];
sumdst[1] += src[1];
}
}
}//channels != 3
}
#else
(void)_size;
(void)srcBase;
(void)srcStride;
(void)sumdst;
(void)channels;
#endif
}
void sum(const Size2D &_size,
const f32 * srcBase, ptrdiff_t srcStride,
f64 * sumdst, u32 channels)
{
internal::assertSupportedConfiguration(isSumSupported(channels));
#ifdef CAROTENE_NEON
Size2D size(_size);
if (srcStride == (ptrdiff_t)(size.width))
{
size.width *= size.height;
size.height = 1;
}
const ptrdiff_t width = size.width * channels;
for(size_t k = 0; k < size.height; ++k)
{
const f32* src = internal::getRowPtr( srcBase, srcStride, k);
ptrdiff_t i = 0;
if (channels == 3)
{
float32x4_t vs1231 = vdupq_n_f32(0);
float32x4_t vs2312 = vdupq_n_f32(0);
float32x4_t vs3123 = vdupq_n_f32(0);
for(; i <= width-12; i += 12)
{
internal::prefetch(src + i + 12);
vs1231 = vaddq_f32(vs1231, vld1q_f32(src + i + 0));
vs2312 = vaddq_f32(vs2312, vld1q_f32(src + i + 4));
vs3123 = vaddq_f32(vs3123, vld1q_f32(src + i + 8));
}
f32 s[12];
vst1q_f32(s + 0, vs1231);
vst1q_f32(s + 4, vs2312);
vst1q_f32(s + 8, vs3123);
sumdst[0] += s[0] + s[3] + s[6] + s[9];
sumdst[1] += s[1] + s[4] + s[7] + s[10];
sumdst[2] += s[2] + s[5] + s[8] + s[11];
for( ; i < width; i+=3)
{
sumdst[0] += src[i];
sumdst[1] += src[i+1];
sumdst[2] += src[i+2];
}
}
else
{
float32x4_t vs = vdupq_n_f32(0);
for(; i <= width-4; i += 4)
{
internal::prefetch(src + i);
vs = vaddq_f32(vs, vld1q_f32(src+i));
}
if (channels == 1)
{
float32x2_t vs2 = vpadd_f32(vget_low_f32(vs), vget_high_f32(vs));
f32 s[2];
vst1_f32(s, vs2);
sumdst[0] += s[0] + s[1];
for( ; i < width; i++)
sumdst[0] += src[i];
}
else if (channels == 4)
{
f32 s[4];
vst1q_f32(s, vs);
sumdst[0] += s[0];
sumdst[1] += s[1];
sumdst[2] += s[2];
sumdst[3] += s[3];
}
else//if (channels == 2)
{
float32x2_t vs2 = vadd_f32(vget_low_f32(vs), vget_high_f32(vs));
f32 s[2];
vst1_f32(s, vs2);
sumdst[0] += s[0];
sumdst[1] += s[1];
if(i < width)
{
sumdst[0] += src[i];
sumdst[1] += src[i+1];
}
}
}//channels != 3
}
#else
(void)_size;
(void)srcBase;
(void)srcStride;
(void)sumdst;
(void)channels;
#endif
}
bool isSqsumSupported(u32 channels)
{
return (channels && ((4/channels)*channels == 4));
}
void sqsum(const Size2D &_size,
const u8 * srcBase, ptrdiff_t srcStride,
f64 * sumdst, f64 * sqsumdst, u32 channels)
{
internal::assertSupportedConfiguration(isSqsumSupported(channels));
#ifdef CAROTENE_NEON
Size2D size(_size);
if (srcStride == (ptrdiff_t)(size.width*channels))
{
size.width *= size.height;
size.height = 1;
}
const size_t width = size.width * channels;
size_t blockSize0 = 1 << 23;
size_t roiw8 = width & ~7;
uint32x4_t v_zero = vdupq_n_u32(0u);
for (size_t i = 0; i < size.height; ++i)
{
const u8 * src = internal::getRowPtr(srcBase, srcStride, i);
size_t j = 0u;
while (j < roiw8)
{
size_t blockSize = std::min(roiw8 - j, blockSize0) + j;
uint32x4_t v_sum = v_zero;
uint32x4_t v_sqsum = v_zero;
for ( ; j < blockSize ; j += 8, src += 8)
{
internal::prefetch(src);
uint8x8_t v_src0 = vld1_u8(src);
uint16x8_t v_src = vmovl_u8(v_src0);
uint16x4_t v_srclo = vget_low_u16(v_src), v_srchi = vget_high_u16(v_src);
v_sum = vaddq_u32(v_sum, vaddl_u16(v_srclo, v_srchi));
v_sqsum = vmlal_u16(v_sqsum, v_srclo, v_srclo);
v_sqsum = vmlal_u16(v_sqsum, v_srchi, v_srchi);
}
u32 arsum[8];
vst1q_u32(arsum, v_sum);
vst1q_u32(arsum + 4, v_sqsum);
sumdst[0] += (f64)arsum[0];
sumdst[1 % channels] += (f64)arsum[1];
sumdst[2 % channels] += (f64)arsum[2];
sumdst[3 % channels] += (f64)arsum[3];
sqsumdst[0] += (f64)arsum[4];
sqsumdst[1 % channels] += (f64)arsum[5];
sqsumdst[2 % channels] += (f64)arsum[6];
sqsumdst[3 % channels] += (f64)arsum[7];
}
// collect a few last elements in the current row
// it's ok to process channels elements per step
// since we could handle 1,2 or 4 channels
// we always have channels-fold amount of elements remaining
for ( ; j < width; j+=channels, src+=channels)
{
for (u32 kk = 0; kk < channels; kk++)
{
u32 srcval = src[kk];
sumdst[kk] += srcval;
sqsumdst[kk] += srcval * srcval;
}
}
}
#else
(void)_size;
(void)srcBase;
(void)srcStride;
(void)sumdst;
(void)sqsumdst;
(void)channels;
#endif
}
} // namespace CAROTENE_NS
+241
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/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2013-2015, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#include "common.hpp"
#include <vector>
#include <cstring>
namespace CAROTENE_NS {
#define ENABLE4LINESMATCHING false //Disabled since overall time for simultaneous 4 lines matching is greater than
//time for simultaneous 2 lines matching for the same amount of data
bool isMatchTemplateSupported(const Size2D &tmplSize)
{
return isSupportedConfiguration() &&
tmplSize.width >= 8 && // Actually the function could process even shorter templates
// but there will be no NEON optimization in this case
(tmplSize.width * tmplSize.height) <= 256;
}
void matchTemplate(const Size2D &srcSize,
const u8 * srcBase, ptrdiff_t srcStride,
const Size2D &tmplSize,
const u8 * tmplBase, ptrdiff_t tmplStride,
f32 * dstBase, ptrdiff_t dstStride,
bool normalize)
{
internal::assertSupportedConfiguration(isMatchTemplateSupported(tmplSize));
#ifdef CAROTENE_NEON
const size_t tmplW = tmplSize.width;
const size_t tmplH = tmplSize.height;
const size_t dstW = srcSize.width - tmplSize.width + 1;
const size_t dstH = srcSize.height - tmplSize.height + 1;
//template correlation part
{
#if ENABLE4LINESMATCHING
const size_t dstroiw4 = dstW & ~3u;
#endif
const size_t dstroiw2 = dstW & ~1u;
const size_t tmplroiw = tmplW & ~7u;
const size_t dstride = dstStride >> 2;
f32 *corr = dstBase;
const u8 *imgrrow = srcBase;
for(size_t r = 0; r < dstH; ++r, corr+=dstride, imgrrow+=srcStride)
{
size_t c = 0;
#if ENABLE4LINESMATCHING
for(; c < dstroiw4; c+=4)
{
u32 dot[4] = {0, 0, 0, 0};
uint32x4_t vdot0 = vmovq_n_u32(0);
uint32x4_t vdot1 = vmovq_n_u32(0);
uint32x4_t vdot2 = vmovq_n_u32(0);
uint32x4_t vdot3 = vmovq_n_u32(0);
const u8 *img = imgrrow;
const u8 *tmpl = tmplBase;
for(size_t i = 0; i < tmplH; ++i, tmpl+=tmplStride, img+=srcStride)
{
size_t j = 0;
for(; j < tmplroiw; j+=8)
{
uint8x8_t vtmpl = vld1_u8(tmpl + j);
uint8x8_t vimg0 = vld1_u8(img + j + c + 0);
uint8x8_t vimg1 = vld1_u8(img + j + c + 1);
uint8x8_t vimg2 = vld1_u8(img + j + c + 2);
uint8x8_t vimg3 = vld1_u8(img + j + c + 3);
uint16x8_t vd0 = vmull_u8(vtmpl, vimg0);
uint16x8_t vd1 = vmull_u8(vtmpl, vimg1);
uint16x8_t vd2 = vmull_u8(vtmpl, vimg2);
uint16x8_t vd3 = vmull_u8(vtmpl, vimg3);
vdot0 = vpadalq_u16(vdot0, vd0);
vdot1 = vpadalq_u16(vdot1, vd1);
vdot2 = vpadalq_u16(vdot2, vd2);
vdot3 = vpadalq_u16(vdot3, vd3);
}
for(; j < tmplW; ++j)
{
dot[0] += tmpl[j] * img[j + c + 0];
dot[1] += tmpl[j] * img[j + c + 1];
dot[2] += tmpl[j] * img[j + c + 2];
dot[3] += tmpl[j] * img[j + c + 3];
}
}
uint32x4_t vdotx = vld1q_u32(dot);
uint32x2_t vdot_0 = vpadd_u32(vget_low_u32(vdot0), vget_high_u32(vdot0));
uint32x2_t vdot_1 = vpadd_u32(vget_low_u32(vdot1), vget_high_u32(vdot1));
uint32x2_t vdot_2 = vpadd_u32(vget_low_u32(vdot2), vget_high_u32(vdot2));
uint32x2_t vdot_3 = vpadd_u32(vget_low_u32(vdot3), vget_high_u32(vdot3));
uint32x2_t vdot_01 = vpadd_u32(vdot_0, vdot_1);
uint32x2_t vdot_23 = vpadd_u32(vdot_2, vdot_3);
vst1q_f32(corr + c, vcvtq_f32_u32(vaddq_u32(vdotx, vcombine_u32(vdot_01, vdot_23))));
}
#endif
for(; c < dstroiw2; c+=2)
{
u32 dot[2] = {0, 0};
uint32x4_t vdot0 = vmovq_n_u32(0);
uint32x4_t vdot1 = vmovq_n_u32(0);
const u8 *img = imgrrow;
const u8 *tmpl = tmplBase;
for(size_t i = 0; i < tmplH; ++i, tmpl+=tmplStride, img+=srcStride)
{
size_t j = 0;
for(; j < tmplroiw; j+=8)
{
uint8x8_t vtmpl = vld1_u8(tmpl + j);
uint8x8_t vimg0 = vld1_u8(img + j + c + 0);
uint8x8_t vimg1 = vld1_u8(img + j + c + 1);
uint16x8_t vd0 = vmull_u8(vtmpl, vimg0);
uint16x8_t vd1 = vmull_u8(vtmpl, vimg1);
vdot0 = vpadalq_u16(vdot0, vd0);
vdot1 = vpadalq_u16(vdot1, vd1);
}
for(; j < tmplW; ++j)
{
dot[0] += tmpl[j] * img[j + c + 0];
dot[1] += tmpl[j] * img[j + c + 1];
}
}
uint32x2_t vdotx = vld1_u32(dot);
uint32x2_t vdot_0 = vpadd_u32(vget_low_u32(vdot0), vget_high_u32(vdot0));
uint32x2_t vdot_1 = vpadd_u32(vget_low_u32(vdot1), vget_high_u32(vdot1));
uint32x2_t vdot_ = vpadd_u32(vdot_0, vdot_1);
vst1_f32(corr + c, vcvt_f32_u32(vadd_u32(vdotx, vdot_)));
}
for(; c < dstW; ++c)
{
u32 dot = 0;
uint32x4_t vdot = vmovq_n_u32(0);
const u8 *img = imgrrow;
const u8 *tmpl = tmplBase;
for(size_t i = 0; i < tmplH; ++i, tmpl+=tmplStride, img+=srcStride)
{
size_t j = 0;
for(; j < tmplroiw; j+=8)
{
uint8x8_t vtmpl = vld1_u8(tmpl + j);
uint8x8_t vimg = vld1_u8(img + j + c);
uint16x8_t vd = vmull_u8(vtmpl, vimg);
vdot = vpadalq_u16(vdot, vd);
}
for(; j < tmplW; ++j)
dot += tmpl[j] * img[j + c];
}
u32 wdot[2];
vst1_u32(wdot, vpadd_u32(vget_low_u32(vdot), vget_high_u32(vdot)));
dot += wdot[0] + wdot[1];
corr[c] = (f32)dot;
}
}
}
if(normalize)
{
f32 tn = std::sqrt((f32)normL2(tmplSize, tmplBase, tmplStride));
size_t iw = srcSize.width+1;
size_t ih = srcSize.height+1;
std::vector<f64> _sqsum(iw*ih);
f64 *sqsum = &_sqsum[0];
memset(sqsum, 0, iw*sizeof(f64));
for(size_t i = 1; i < ih; ++i)
sqsum[iw*i] = 0.;
sqrIntegral(srcSize, srcBase, srcStride, sqsum + iw + 1, iw*sizeof(f64));
for(size_t i = 0; i < dstH; ++i)
{
f32 *result = internal::getRowPtr(dstBase, dstStride, i);
for(size_t j = 0; j < dstW; ++j)
{
double s2 = sqsum[iw*i + j] +
sqsum[iw*(i + tmplSize.height) + j + tmplSize.width] -
sqsum[iw*(i + tmplSize.height) + j] -
sqsum[iw*i + j + tmplSize.width];
result[j] /= tn * std::sqrt(s2);
}
}
}
#else
(void)srcSize;
(void)srcBase;
(void)srcStride;
(void)tmplBase;
(void)tmplStride;
(void)dstBase;
(void)dstStride;
(void)normalize;
#endif
}
} // namespace CAROTENE_NS
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+102
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/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2014-2015, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#ifndef CAROTENE_SRC_VROUND_HELPER_HPP
#define CAROTENE_SRC_VROUND_HELPER_HPP
#include "common.hpp"
#include "vtransform.hpp"
#ifdef CAROTENE_NEON
/**
* This helper header is for rounding from float32xN to uin32xN or int32xN to nearest, ties to even.
* See https://en.wikipedia.org/wiki/Rounding#Rounding_half_to_even
*/
// See https://github.com/opencv/opencv/pull/24271#issuecomment-1867318007
#define CAROTENE_ROUND_DELTA (12582912.0f)
namespace CAROTENE_NS { namespace internal {
inline uint32x4_t vroundq_u32_f32(const float32x4_t val)
{
#if defined(__ARM_ARCH) && (__ARM_ARCH >= 8)
return vcvtnq_u32_f32(val);
#else
const float32x4_t delta = vdupq_n_f32(CAROTENE_ROUND_DELTA);
return vcvtq_u32_f32(vsubq_f32(vaddq_f32(val, delta), delta));
#endif
}
inline uint32x2_t vround_u32_f32(const float32x2_t val)
{
#if defined(__ARM_ARCH) && (__ARM_ARCH >= 8)
return vcvtn_u32_f32(val);
#else
const float32x2_t delta = vdup_n_f32(CAROTENE_ROUND_DELTA);
return vcvt_u32_f32(vsub_f32(vadd_f32(val, delta), delta));
#endif
}
inline int32x4_t vroundq_s32_f32(const float32x4_t val)
{
#if defined(__ARM_ARCH) && (__ARM_ARCH >= 8)
return vcvtnq_s32_f32(val);
#else
const float32x4_t delta = vdupq_n_f32(CAROTENE_ROUND_DELTA);
return vcvtq_s32_f32(vsubq_f32(vaddq_f32(val, delta), delta));
#endif
}
inline int32x2_t vround_s32_f32(const float32x2_t val)
{
#if defined(__ARM_ARCH) && (__ARM_ARCH >= 8)
return vcvtn_s32_f32(val);
#else
const float32x2_t delta = vdup_n_f32(CAROTENE_ROUND_DELTA);
return vcvt_s32_f32(vsub_f32(vadd_f32(val, delta), delta));
#endif
}
} }
#endif // CAROTENE_NEON
#endif
+689
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@@ -0,0 +1,689 @@
/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2014-2015, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#ifndef CAROTENE_SRC_VTRANSFORM_HPP
#define CAROTENE_SRC_VTRANSFORM_HPP
#include "common.hpp"
#include <carotene/types.hpp>
#ifdef CAROTENE_NEON
namespace CAROTENE_NS { namespace internal {
////////////////////////////// Type Traits ///////////////////////
template <typename T, int cn = 1>
struct VecTraits;
template <> struct VecTraits< u8, 1> { typedef uint8x16_t vec128; typedef uint8x8_t vec64; typedef VecTraits< u8, 1> unsign; };
template <> struct VecTraits< s8, 1> { typedef int8x16_t vec128; typedef int8x8_t vec64; typedef VecTraits< u8, 1> unsign; };
template <> struct VecTraits<u16, 1> { typedef uint16x8_t vec128; typedef uint16x4_t vec64; typedef VecTraits< u16, 1> unsign; };
template <> struct VecTraits<s16, 1> { typedef int16x8_t vec128; typedef int16x4_t vec64; typedef VecTraits< u16, 1> unsign; };
template <> struct VecTraits<s32, 1> { typedef int32x4_t vec128; typedef int32x2_t vec64; typedef VecTraits< u32, 1> unsign; };
template <> struct VecTraits<u32, 1> { typedef uint32x4_t vec128; typedef uint32x2_t vec64; typedef VecTraits< u32, 1> unsign; };
template <> struct VecTraits<s64, 1> { typedef int64x2_t vec128; typedef int64x1_t vec64; typedef VecTraits< u64, 1> unsign; };
template <> struct VecTraits<u64, 1> { typedef uint64x2_t vec128; typedef uint64x1_t vec64; typedef VecTraits< u64, 1> unsign; };
template <> struct VecTraits<f32, 1> { typedef float32x4_t vec128; typedef float32x2_t vec64; typedef VecTraits< u32, 1> unsign; };
template <> struct VecTraits< u8, 2> { typedef uint8x16x2_t vec128; typedef uint8x8x2_t vec64; typedef VecTraits< u8, 2> unsign; };
template <> struct VecTraits< s8, 2> { typedef int8x16x2_t vec128; typedef int8x8x2_t vec64; typedef VecTraits< u8, 2> unsign; };
template <> struct VecTraits<u16, 2> { typedef uint16x8x2_t vec128; typedef uint16x4x2_t vec64; typedef VecTraits< u16, 2> unsign; };
template <> struct VecTraits<s16, 2> { typedef int16x8x2_t vec128; typedef int16x4x2_t vec64; typedef VecTraits< u16, 2> unsign; };
template <> struct VecTraits<s32, 2> { typedef int32x4x2_t vec128; typedef int32x2x2_t vec64; typedef VecTraits< u32, 2> unsign; };
template <> struct VecTraits<u32, 2> { typedef uint32x4x2_t vec128; typedef uint32x2x2_t vec64; typedef VecTraits< u32, 2> unsign; };
template <> struct VecTraits<s64, 2> { typedef int64x2x2_t vec128; typedef int64x1x2_t vec64; typedef VecTraits< u64, 2> unsign; };
template <> struct VecTraits<u64, 2> { typedef uint64x2x2_t vec128; typedef uint64x1x2_t vec64; typedef VecTraits< u64, 2> unsign; };
template <> struct VecTraits<f32, 2> { typedef float32x4x2_t vec128; typedef float32x2x2_t vec64; typedef VecTraits< u32, 2> unsign; };
template <> struct VecTraits< u8, 3> { typedef uint8x16x3_t vec128; typedef uint8x8x3_t vec64; typedef VecTraits< u8, 3> unsign; };
template <> struct VecTraits< s8, 3> { typedef int8x16x3_t vec128; typedef int8x8x3_t vec64; typedef VecTraits< u8, 3> unsign; };
template <> struct VecTraits<u16, 3> { typedef uint16x8x3_t vec128; typedef uint16x4x3_t vec64; typedef VecTraits< u16, 3> unsign; };
template <> struct VecTraits<s16, 3> { typedef int16x8x3_t vec128; typedef int16x4x3_t vec64; typedef VecTraits< u16, 3> unsign; };
template <> struct VecTraits<s32, 3> { typedef int32x4x3_t vec128; typedef int32x2x3_t vec64; typedef VecTraits< u32, 3> unsign; };
template <> struct VecTraits<u32, 3> { typedef uint32x4x3_t vec128; typedef uint32x2x3_t vec64; typedef VecTraits< u32, 3> unsign; };
template <> struct VecTraits<s64, 3> { typedef int64x2x3_t vec128; typedef int64x1x3_t vec64; typedef VecTraits< u64, 2> unsign; };
template <> struct VecTraits<u64, 3> { typedef uint64x2x3_t vec128; typedef uint64x1x3_t vec64; typedef VecTraits< u64, 2> unsign; };
template <> struct VecTraits<f32, 3> { typedef float32x4x3_t vec128; typedef float32x2x3_t vec64; typedef VecTraits< u32, 3> unsign; };
template <> struct VecTraits< u8, 4> { typedef uint8x16x4_t vec128; typedef uint8x8x4_t vec64; typedef VecTraits< u8, 3> unsign; };
template <> struct VecTraits< s8, 4> { typedef int8x16x4_t vec128; typedef int8x8x4_t vec64; typedef VecTraits< u8, 3> unsign; };
template <> struct VecTraits<u16, 4> { typedef uint16x8x4_t vec128; typedef uint16x4x4_t vec64; typedef VecTraits< u16, 3> unsign; };
template <> struct VecTraits<s16, 4> { typedef int16x8x4_t vec128; typedef int16x4x4_t vec64; typedef VecTraits< u16, 3> unsign; };
template <> struct VecTraits<s32, 4> { typedef int32x4x4_t vec128; typedef int32x2x4_t vec64; typedef VecTraits< u32, 3> unsign; };
template <> struct VecTraits<u32, 4> { typedef uint32x4x4_t vec128; typedef uint32x2x4_t vec64; typedef VecTraits< u32, 3> unsign; };
template <> struct VecTraits<s64, 4> { typedef int64x2x4_t vec128; typedef int64x1x4_t vec64; typedef VecTraits< u64, 2> unsign; };
template <> struct VecTraits<u64, 4> { typedef uint64x2x4_t vec128; typedef uint64x1x4_t vec64; typedef VecTraits< u64, 2> unsign; };
template <> struct VecTraits<f32, 4> { typedef float32x4x4_t vec128; typedef float32x2x4_t vec64; typedef VecTraits< u32, 3> unsign; };
////////////////////////////// vld1q ///////////////////////
inline uint8x16_t vld1q(const u8 * ptr) { return vld1q_u8(ptr); }
inline int8x16_t vld1q(const s8 * ptr) { return vld1q_s8(ptr); }
inline uint16x8_t vld1q(const u16 * ptr) { return vld1q_u16(ptr); }
inline int16x8_t vld1q(const s16 * ptr) { return vld1q_s16(ptr); }
inline uint32x4_t vld1q(const u32 * ptr) { return vld1q_u32(ptr); }
inline int32x4_t vld1q(const s32 * ptr) { return vld1q_s32(ptr); }
inline float32x4_t vld1q(const f32 * ptr) { return vld1q_f32(ptr); }
////////////////////////////// vld1 ///////////////////////
inline uint8x8_t vld1(const u8 * ptr) { return vld1_u8(ptr); }
inline int8x8_t vld1(const s8 * ptr) { return vld1_s8(ptr); }
inline uint16x4_t vld1(const u16 * ptr) { return vld1_u16(ptr); }
inline int16x4_t vld1(const s16 * ptr) { return vld1_s16(ptr); }
inline uint32x2_t vld1(const u32 * ptr) { return vld1_u32(ptr); }
inline int32x2_t vld1(const s32 * ptr) { return vld1_s32(ptr); }
inline float32x2_t vld1(const f32 * ptr) { return vld1_f32(ptr); }
////////////////////////////// vld2q ///////////////////////
inline uint8x16x2_t vld2q(const u8 * ptr) { return vld2q_u8(ptr); }
inline int8x16x2_t vld2q(const s8 * ptr) { return vld2q_s8(ptr); }
inline uint16x8x2_t vld2q(const u16 * ptr) { return vld2q_u16(ptr); }
inline int16x8x2_t vld2q(const s16 * ptr) { return vld2q_s16(ptr); }
inline uint32x4x2_t vld2q(const u32 * ptr) { return vld2q_u32(ptr); }
inline int32x4x2_t vld2q(const s32 * ptr) { return vld2q_s32(ptr); }
inline float32x4x2_t vld2q(const f32 * ptr) { return vld2q_f32(ptr); }
////////////////////////////// vld2 ///////////////////////
inline uint8x8x2_t vld2(const u8 * ptr) { return vld2_u8(ptr); }
inline int8x8x2_t vld2(const s8 * ptr) { return vld2_s8(ptr); }
inline uint16x4x2_t vld2(const u16 * ptr) { return vld2_u16(ptr); }
inline int16x4x2_t vld2(const s16 * ptr) { return vld2_s16(ptr); }
inline uint32x2x2_t vld2(const u32 * ptr) { return vld2_u32(ptr); }
inline int32x2x2_t vld2(const s32 * ptr) { return vld2_s32(ptr); }
inline float32x2x2_t vld2(const f32 * ptr) { return vld2_f32(ptr); }
////////////////////////////// vld3q ///////////////////////
inline uint8x16x3_t vld3q(const u8 * ptr) { return vld3q_u8(ptr); }
inline int8x16x3_t vld3q(const s8 * ptr) { return vld3q_s8(ptr); }
inline uint16x8x3_t vld3q(const u16 * ptr) { return vld3q_u16(ptr); }
inline int16x8x3_t vld3q(const s16 * ptr) { return vld3q_s16(ptr); }
inline uint32x4x3_t vld3q(const u32 * ptr) { return vld3q_u32(ptr); }
inline int32x4x3_t vld3q(const s32 * ptr) { return vld3q_s32(ptr); }
inline float32x4x3_t vld3q(const f32 * ptr) { return vld3q_f32(ptr); }
////////////////////////////// vld3 ///////////////////////
inline uint8x8x3_t vld3(const u8 * ptr) { return vld3_u8(ptr); }
inline int8x8x3_t vld3(const s8 * ptr) { return vld3_s8(ptr); }
inline uint16x4x3_t vld3(const u16 * ptr) { return vld3_u16(ptr); }
inline int16x4x3_t vld3(const s16 * ptr) { return vld3_s16(ptr); }
inline uint32x2x3_t vld3(const u32 * ptr) { return vld3_u32(ptr); }
inline int32x2x3_t vld3(const s32 * ptr) { return vld3_s32(ptr); }
inline float32x2x3_t vld3(const f32 * ptr) { return vld3_f32(ptr); }
////////////////////////////// vld4q ///////////////////////
inline uint8x16x4_t vld4q(const u8 * ptr) { return vld4q_u8(ptr); }
inline int8x16x4_t vld4q(const s8 * ptr) { return vld4q_s8(ptr); }
inline uint16x8x4_t vld4q(const u16 * ptr) { return vld4q_u16(ptr); }
inline int16x8x4_t vld4q(const s16 * ptr) { return vld4q_s16(ptr); }
inline uint32x4x4_t vld4q(const u32 * ptr) { return vld4q_u32(ptr); }
inline int32x4x4_t vld4q(const s32 * ptr) { return vld4q_s32(ptr); }
inline float32x4x4_t vld4q(const f32 * ptr) { return vld4q_f32(ptr); }
////////////////////////////// vld4 ///////////////////////
inline uint8x8x4_t vld4(const u8 * ptr) { return vld4_u8(ptr); }
inline int8x8x4_t vld4(const s8 * ptr) { return vld4_s8(ptr); }
inline uint16x4x4_t vld4(const u16 * ptr) { return vld4_u16(ptr); }
inline int16x4x4_t vld4(const s16 * ptr) { return vld4_s16(ptr); }
inline uint32x2x4_t vld4(const u32 * ptr) { return vld4_u32(ptr); }
inline int32x2x4_t vld4(const s32 * ptr) { return vld4_s32(ptr); }
inline float32x2x4_t vld4(const f32 * ptr) { return vld4_f32(ptr); }
////////////////////////////// vst1q ///////////////////////
inline void vst1q(u8 * ptr, const uint8x16_t & v) { return vst1q_u8(ptr, v); }
inline void vst1q(s8 * ptr, const int8x16_t & v) { return vst1q_s8(ptr, v); }
inline void vst1q(u16 * ptr, const uint16x8_t & v) { return vst1q_u16(ptr, v); }
inline void vst1q(s16 * ptr, const int16x8_t & v) { return vst1q_s16(ptr, v); }
inline void vst1q(u32 * ptr, const uint32x4_t & v) { return vst1q_u32(ptr, v); }
inline void vst1q(s32 * ptr, const int32x4_t & v) { return vst1q_s32(ptr, v); }
inline void vst1q(f32 * ptr, const float32x4_t & v) { return vst1q_f32(ptr, v); }
////////////////////////////// vst1 ///////////////////////
inline void vst1(u8 * ptr, const uint8x8_t & v) { return vst1_u8(ptr, v); }
inline void vst1(s8 * ptr, const int8x8_t & v) { return vst1_s8(ptr, v); }
inline void vst1(u16 * ptr, const uint16x4_t & v) { return vst1_u16(ptr, v); }
inline void vst1(s16 * ptr, const int16x4_t & v) { return vst1_s16(ptr, v); }
inline void vst1(u32 * ptr, const uint32x2_t & v) { return vst1_u32(ptr, v); }
inline void vst1(s32 * ptr, const int32x2_t & v) { return vst1_s32(ptr, v); }
inline void vst1(f32 * ptr, const float32x2_t & v) { return vst1_f32(ptr, v); }
////////////////////////////// vst2q ///////////////////////
inline void vst2q(u8 * ptr, const uint8x16x2_t & v) { return vst2q_u8(ptr, v); }
inline void vst2q(s8 * ptr, const int8x16x2_t & v) { return vst2q_s8(ptr, v); }
inline void vst2q(u16 * ptr, const uint16x8x2_t & v) { return vst2q_u16(ptr, v); }
inline void vst2q(s16 * ptr, const int16x8x2_t & v) { return vst2q_s16(ptr, v); }
inline void vst2q(u32 * ptr, const uint32x4x2_t & v) { return vst2q_u32(ptr, v); }
inline void vst2q(s32 * ptr, const int32x4x2_t & v) { return vst2q_s32(ptr, v); }
inline void vst2q(f32 * ptr, const float32x4x2_t & v) { return vst2q_f32(ptr, v); }
////////////////////////////// vst2 ///////////////////////
inline void vst2(u8 * ptr, const uint8x8x2_t & v) { return vst2_u8(ptr, v); }
inline void vst2(s8 * ptr, const int8x8x2_t & v) { return vst2_s8(ptr, v); }
inline void vst2(u16 * ptr, const uint16x4x2_t & v) { return vst2_u16(ptr, v); }
inline void vst2(s16 * ptr, const int16x4x2_t & v) { return vst2_s16(ptr, v); }
inline void vst2(u32 * ptr, const uint32x2x2_t & v) { return vst2_u32(ptr, v); }
inline void vst2(s32 * ptr, const int32x2x2_t & v) { return vst2_s32(ptr, v); }
inline void vst2(f32 * ptr, const float32x2x2_t & v) { return vst2_f32(ptr, v); }
////////////////////////////// vst3q ///////////////////////
inline void vst3q(u8 * ptr, const uint8x16x3_t & v) { return vst3q_u8(ptr, v); }
inline void vst3q(s8 * ptr, const int8x16x3_t & v) { return vst3q_s8(ptr, v); }
inline void vst3q(u16 * ptr, const uint16x8x3_t & v) { return vst3q_u16(ptr, v); }
inline void vst3q(s16 * ptr, const int16x8x3_t & v) { return vst3q_s16(ptr, v); }
inline void vst3q(u32 * ptr, const uint32x4x3_t & v) { return vst3q_u32(ptr, v); }
inline void vst3q(s32 * ptr, const int32x4x3_t & v) { return vst3q_s32(ptr, v); }
inline void vst3q(f32 * ptr, const float32x4x3_t & v) { return vst3q_f32(ptr, v); }
////////////////////////////// vst3 ///////////////////////
inline void vst3(u8 * ptr, const uint8x8x3_t & v) { return vst3_u8(ptr, v); }
inline void vst3(s8 * ptr, const int8x8x3_t & v) { return vst3_s8(ptr, v); }
inline void vst3(u16 * ptr, const uint16x4x3_t & v) { return vst3_u16(ptr, v); }
inline void vst3(s16 * ptr, const int16x4x3_t & v) { return vst3_s16(ptr, v); }
inline void vst3(u32 * ptr, const uint32x2x3_t & v) { return vst3_u32(ptr, v); }
inline void vst3(s32 * ptr, const int32x2x3_t & v) { return vst3_s32(ptr, v); }
inline void vst3(f32 * ptr, const float32x2x3_t & v) { return vst3_f32(ptr, v); }
////////////////////////////// vst4q ///////////////////////
inline void vst4q(u8 * ptr, const uint8x16x4_t & v) { return vst4q_u8(ptr, v); }
inline void vst4q(s8 * ptr, const int8x16x4_t & v) { return vst4q_s8(ptr, v); }
inline void vst4q(u16 * ptr, const uint16x8x4_t & v) { return vst4q_u16(ptr, v); }
inline void vst4q(s16 * ptr, const int16x8x4_t & v) { return vst4q_s16(ptr, v); }
inline void vst4q(u32 * ptr, const uint32x4x4_t & v) { return vst4q_u32(ptr, v); }
inline void vst4q(s32 * ptr, const int32x4x4_t & v) { return vst4q_s32(ptr, v); }
inline void vst4q(f32 * ptr, const float32x4x4_t & v) { return vst4q_f32(ptr, v); }
////////////////////////////// vst4 ///////////////////////
inline void vst4(u8 * ptr, const uint8x8x4_t & v) { return vst4_u8(ptr, v); }
inline void vst4(s8 * ptr, const int8x8x4_t & v) { return vst4_s8(ptr, v); }
inline void vst4(u16 * ptr, const uint16x4x4_t & v) { return vst4_u16(ptr, v); }
inline void vst4(s16 * ptr, const int16x4x4_t & v) { return vst4_s16(ptr, v); }
inline void vst4(u32 * ptr, const uint32x2x4_t & v) { return vst4_u32(ptr, v); }
inline void vst4(s32 * ptr, const int32x2x4_t & v) { return vst4_s32(ptr, v); }
inline void vst4(f32 * ptr, const float32x2x4_t & v) { return vst4_f32(ptr, v); }
////////////////////////////// vabdq ///////////////////////
inline uint8x16_t vabdq(const uint8x16_t & v0, const uint8x16_t & v1) { return vabdq_u8 (v0, v1); }
inline int8x16_t vabdq(const int8x16_t & v0, const int8x16_t & v1) { return vabdq_s8 (v0, v1); }
inline uint16x8_t vabdq(const uint16x8_t & v0, const uint16x8_t & v1) { return vabdq_u16(v0, v1); }
inline int16x8_t vabdq(const int16x8_t & v0, const int16x8_t & v1) { return vabdq_s16(v0, v1); }
inline uint32x4_t vabdq(const uint32x4_t & v0, const uint32x4_t & v1) { return vabdq_u32(v0, v1); }
inline int32x4_t vabdq(const int32x4_t & v0, const int32x4_t & v1) { return vabdq_s32(v0, v1); }
inline float32x4_t vabdq(const float32x4_t & v0, const float32x4_t & v1) { return vabdq_f32(v0, v1); }
////////////////////////////// vabd ///////////////////////
inline uint8x8_t vabd(const uint8x8_t & v0, const uint8x8_t & v1) { return vabd_u8 (v0, v1); }
inline int8x8_t vabd(const int8x8_t & v0, const int8x8_t & v1) { return vabd_s8 (v0, v1); }
inline uint16x4_t vabd(const uint16x4_t & v0, const uint16x4_t & v1) { return vabd_u16(v0, v1); }
inline int16x4_t vabd(const int16x4_t & v0, const int16x4_t & v1) { return vabd_s16(v0, v1); }
inline uint32x2_t vabd(const uint32x2_t & v0, const uint32x2_t & v1) { return vabd_u32(v0, v1); }
inline int32x2_t vabd(const int32x2_t & v0, const int32x2_t & v1) { return vabd_s32(v0, v1); }
inline float32x2_t vabd(const float32x2_t & v0, const float32x2_t & v1) { return vabd_f32(v0, v1); }
////////////////////////////// vminq ///////////////////////
inline uint8x16_t vminq(const uint8x16_t & v0, const uint8x16_t & v1) { return vminq_u8 (v0, v1); }
inline int8x16_t vminq(const int8x16_t & v0, const int8x16_t & v1) { return vminq_s8 (v0, v1); }
inline uint16x8_t vminq(const uint16x8_t & v0, const uint16x8_t & v1) { return vminq_u16(v0, v1); }
inline int16x8_t vminq(const int16x8_t & v0, const int16x8_t & v1) { return vminq_s16(v0, v1); }
inline uint32x4_t vminq(const uint32x4_t & v0, const uint32x4_t & v1) { return vminq_u32(v0, v1); }
inline int32x4_t vminq(const int32x4_t & v0, const int32x4_t & v1) { return vminq_s32(v0, v1); }
inline float32x4_t vminq(const float32x4_t & v0, const float32x4_t & v1) { return vminq_f32(v0, v1); }
////////////////////////////// vmin ///////////////////////
inline uint8x8_t vmin(const uint8x8_t & v0, const uint8x8_t & v1) { return vmin_u8 (v0, v1); }
inline int8x8_t vmin(const int8x8_t & v0, const int8x8_t & v1) { return vmin_s8 (v0, v1); }
inline uint16x4_t vmin(const uint16x4_t & v0, const uint16x4_t & v1) { return vmin_u16(v0, v1); }
inline int16x4_t vmin(const int16x4_t & v0, const int16x4_t & v1) { return vmin_s16(v0, v1); }
inline uint32x2_t vmin(const uint32x2_t & v0, const uint32x2_t & v1) { return vmin_u32(v0, v1); }
inline int32x2_t vmin(const int32x2_t & v0, const int32x2_t & v1) { return vmin_s32(v0, v1); }
inline float32x2_t vmin(const float32x2_t & v0, const float32x2_t & v1) { return vmin_f32(v0, v1); }
////////////////////////////// vmaxq ///////////////////////
inline uint8x16_t vmaxq(const uint8x16_t & v0, const uint8x16_t & v1) { return vmaxq_u8 (v0, v1); }
inline int8x16_t vmaxq(const int8x16_t & v0, const int8x16_t & v1) { return vmaxq_s8 (v0, v1); }
inline uint16x8_t vmaxq(const uint16x8_t & v0, const uint16x8_t & v1) { return vmaxq_u16(v0, v1); }
inline int16x8_t vmaxq(const int16x8_t & v0, const int16x8_t & v1) { return vmaxq_s16(v0, v1); }
inline uint32x4_t vmaxq(const uint32x4_t & v0, const uint32x4_t & v1) { return vmaxq_u32(v0, v1); }
inline int32x4_t vmaxq(const int32x4_t & v0, const int32x4_t & v1) { return vmaxq_s32(v0, v1); }
inline float32x4_t vmaxq(const float32x4_t & v0, const float32x4_t & v1) { return vmaxq_f32(v0, v1); }
////////////////////////////// vmax ///////////////////////
inline uint8x8_t vmax(const uint8x8_t & v0, const uint8x8_t & v1) { return vmax_u8 (v0, v1); }
inline int8x8_t vmax(const int8x8_t & v0, const int8x8_t & v1) { return vmax_s8 (v0, v1); }
inline uint16x4_t vmax(const uint16x4_t & v0, const uint16x4_t & v1) { return vmax_u16(v0, v1); }
inline int16x4_t vmax(const int16x4_t & v0, const int16x4_t & v1) { return vmax_s16(v0, v1); }
inline uint32x2_t vmax(const uint32x2_t & v0, const uint32x2_t & v1) { return vmax_u32(v0, v1); }
inline int32x2_t vmax(const int32x2_t & v0, const int32x2_t & v1) { return vmax_s32(v0, v1); }
inline float32x2_t vmax(const float32x2_t & v0, const float32x2_t & v1) { return vmax_f32(v0, v1); }
////////////////////////////// vdupq_n ///////////////////////
inline uint8x16_t vdupq_n(const u8 & val) { return vdupq_n_u8(val); }
inline int8x16_t vdupq_n(const s8 & val) { return vdupq_n_s8(val); }
inline uint16x8_t vdupq_n(const u16 & val) { return vdupq_n_u16(val); }
inline int16x8_t vdupq_n(const s16 & val) { return vdupq_n_s16(val); }
inline uint32x4_t vdupq_n(const u32 & val) { return vdupq_n_u32(val); }
inline int32x4_t vdupq_n(const s32 & val) { return vdupq_n_s32(val); }
inline uint64x2_t vdupq_n(const u64 & val) { return vdupq_n_u64(val); }
inline int64x2_t vdupq_n(const s64 & val) { return vdupq_n_s64(val); }
inline float32x4_t vdupq_n(const f32 & val) { return vdupq_n_f32(val); }
////////////////////////////// vdup_n ///////////////////////
inline uint8x8_t vdup_n(const u8 & val) { return vdup_n_u8(val); }
inline int8x8_t vdup_n(const s8 & val) { return vdup_n_s8(val); }
inline uint16x4_t vdup_n(const u16 & val) { return vdup_n_u16(val); }
inline int16x4_t vdup_n(const s16 & val) { return vdup_n_s16(val); }
inline uint32x2_t vdup_n(const u32 & val) { return vdup_n_u32(val); }
inline int32x2_t vdup_n(const s32 & val) { return vdup_n_s32(val); }
inline uint64x1_t vdup_n(const u64 & val) { return vdup_n_u64(val); }
inline int64x1_t vdup_n(const s64 & val) { return vdup_n_s64(val); }
inline float32x2_t vdup_n(const f32 & val) { return vdup_n_f32(val); }
////////////////////////////// vget_low ///////////////////////
inline uint8x8_t vget_low(const uint8x16_t & v) { return vget_low_u8 (v); }
inline int8x8_t vget_low(const int8x16_t & v) { return vget_low_s8 (v); }
inline uint16x4_t vget_low(const uint16x8_t & v) { return vget_low_u16(v); }
inline int16x4_t vget_low(const int16x8_t & v) { return vget_low_s16(v); }
inline uint32x2_t vget_low(const uint32x4_t & v) { return vget_low_u32(v); }
inline int32x2_t vget_low(const int32x4_t & v) { return vget_low_s32(v); }
inline float32x2_t vget_low(const float32x4_t & v) { return vget_low_f32(v); }
////////////////////////////// vget_high ///////////////////////
inline uint8x8_t vget_high(const uint8x16_t & v) { return vget_high_u8 (v); }
inline int8x8_t vget_high(const int8x16_t & v) { return vget_high_s8 (v); }
inline uint16x4_t vget_high(const uint16x8_t & v) { return vget_high_u16(v); }
inline int16x4_t vget_high(const int16x8_t & v) { return vget_high_s16(v); }
inline uint32x2_t vget_high(const uint32x4_t & v) { return vget_high_u32(v); }
inline int32x2_t vget_high(const int32x4_t & v) { return vget_high_s32(v); }
inline float32x2_t vget_high(const float32x4_t & v) { return vget_high_f32(v); }
////////////////////////////// vcombine ///////////////////////
inline uint8x16_t vcombine(const uint8x8_t & v0, const uint8x8_t & v1) { return vcombine_u8 (v0, v1); }
inline int8x16_t vcombine(const int8x8_t & v0, const int8x8_t & v1) { return vcombine_s8 (v0, v1); }
inline uint16x8_t vcombine(const uint16x4_t & v0, const uint16x4_t & v1) { return vcombine_u16(v0, v1); }
inline int16x8_t vcombine(const int16x4_t & v0, const int16x4_t & v1) { return vcombine_s16(v0, v1); }
inline uint32x4_t vcombine(const uint32x2_t & v0, const uint32x2_t & v1) { return vcombine_u32(v0, v1); }
inline int32x4_t vcombine(const int32x2_t & v0, const int32x2_t & v1) { return vcombine_s32(v0, v1); }
inline float32x4_t vcombine(const float32x2_t & v0, const float32x2_t & v1) { return vcombine_f32(v0, v1); }
////////////////////////////// vaddq ///////////////////////
inline uint8x16_t vaddq(const uint8x16_t & v0, const uint8x16_t & v1) { return vaddq_u8 (v0, v1); }
inline int8x16_t vaddq(const int8x16_t & v0, const int8x16_t & v1) { return vaddq_s8 (v0, v1); }
inline uint16x8_t vaddq(const uint16x8_t & v0, const uint16x8_t & v1) { return vaddq_u16(v0, v1); }
inline int16x8_t vaddq(const int16x8_t & v0, const int16x8_t & v1) { return vaddq_s16(v0, v1); }
inline uint32x4_t vaddq(const uint32x4_t & v0, const uint32x4_t & v1) { return vaddq_u32(v0, v1); }
inline int32x4_t vaddq(const int32x4_t & v0, const int32x4_t & v1) { return vaddq_s32(v0, v1); }
inline float32x4_t vaddq(const float32x4_t & v0, const float32x4_t & v1) { return vaddq_f32(v0, v1); }
////////////////////////////// vadd ///////////////////////
inline uint8x8_t vadd(const uint8x8_t & v0, const uint8x8_t & v1) { return vadd_u8 (v0, v1); }
inline int8x8_t vadd(const int8x8_t & v0, const int8x8_t & v1) { return vadd_s8 (v0, v1); }
inline uint16x4_t vadd(const uint16x4_t & v0, const uint16x4_t & v1) { return vadd_u16(v0, v1); }
inline int16x4_t vadd(const int16x4_t & v0, const int16x4_t & v1) { return vadd_s16(v0, v1); }
inline uint32x2_t vadd(const uint32x2_t & v0, const uint32x2_t & v1) { return vadd_u32(v0, v1); }
inline int32x2_t vadd(const int32x2_t & v0, const int32x2_t & v1) { return vadd_s32(v0, v1); }
inline float32x2_t vadd(const float32x2_t & v0, const float32x2_t & v1) { return vadd_f32(v0, v1); }
////////////////////////////// vqaddq ///////////////////////
inline uint8x16_t vqaddq(const uint8x16_t & v0, const uint8x16_t & v1) { return vqaddq_u8 (v0, v1); }
inline int8x16_t vqaddq(const int8x16_t & v0, const int8x16_t & v1) { return vqaddq_s8 (v0, v1); }
inline uint16x8_t vqaddq(const uint16x8_t & v0, const uint16x8_t & v1) { return vqaddq_u16(v0, v1); }
inline int16x8_t vqaddq(const int16x8_t & v0, const int16x8_t & v1) { return vqaddq_s16(v0, v1); }
inline uint32x4_t vqaddq(const uint32x4_t & v0, const uint32x4_t & v1) { return vqaddq_u32(v0, v1); }
inline int32x4_t vqaddq(const int32x4_t & v0, const int32x4_t & v1) { return vqaddq_s32(v0, v1); }
////////////////////////////// vqadd ///////////////////////
inline uint8x8_t vqadd(const uint8x8_t & v0, const uint8x8_t & v1) { return vqadd_u8 (v0, v1); }
inline int8x8_t vqadd(const int8x8_t & v0, const int8x8_t & v1) { return vqadd_s8 (v0, v1); }
inline uint16x4_t vqadd(const uint16x4_t & v0, const uint16x4_t & v1) { return vqadd_u16(v0, v1); }
inline int16x4_t vqadd(const int16x4_t & v0, const int16x4_t & v1) { return vqadd_s16(v0, v1); }
inline uint32x2_t vqadd(const uint32x2_t & v0, const uint32x2_t & v1) { return vqadd_u32(v0, v1); }
inline int32x2_t vqadd(const int32x2_t & v0, const int32x2_t & v1) { return vqadd_s32(v0, v1); }
////////////////////////////// vsubq ///////////////////////
inline uint8x16_t vsubq(const uint8x16_t & v0, const uint8x16_t & v1) { return vsubq_u8 (v0, v1); }
inline int8x16_t vsubq(const int8x16_t & v0, const int8x16_t & v1) { return vsubq_s8 (v0, v1); }
inline uint16x8_t vsubq(const uint16x8_t & v0, const uint16x8_t & v1) { return vsubq_u16(v0, v1); }
inline int16x8_t vsubq(const int16x8_t & v0, const int16x8_t & v1) { return vsubq_s16(v0, v1); }
inline uint32x4_t vsubq(const uint32x4_t & v0, const uint32x4_t & v1) { return vsubq_u32(v0, v1); }
inline int32x4_t vsubq(const int32x4_t & v0, const int32x4_t & v1) { return vsubq_s32(v0, v1); }
inline float32x4_t vsubq(const float32x4_t & v0, const float32x4_t & v1) { return vsubq_f32(v0, v1); }
////////////////////////////// vsub ///////////////////////
inline uint8x8_t vsub(const uint8x8_t & v0, const uint8x8_t & v1) { return vsub_u8 (v0, v1); }
inline int8x8_t vsub(const int8x8_t & v0, const int8x8_t & v1) { return vsub_s8 (v0, v1); }
inline uint16x4_t vsub(const uint16x4_t & v0, const uint16x4_t & v1) { return vsub_u16(v0, v1); }
inline int16x4_t vsub(const int16x4_t & v0, const int16x4_t & v1) { return vsub_s16(v0, v1); }
inline uint32x2_t vsub(const uint32x2_t & v0, const uint32x2_t & v1) { return vsub_u32(v0, v1); }
inline int32x2_t vsub(const int32x2_t & v0, const int32x2_t & v1) { return vsub_s32(v0, v1); }
inline float32x2_t vsub(const float32x2_t & v0, const float32x2_t & v1) { return vsub_f32(v0, v1); }
////////////////////////////// vqsubq ///////////////////////
inline uint8x16_t vqsubq(const uint8x16_t & v0, const uint8x16_t & v1) { return vqsubq_u8 (v0, v1); }
inline int8x16_t vqsubq(const int8x16_t & v0, const int8x16_t & v1) { return vqsubq_s8 (v0, v1); }
inline uint16x8_t vqsubq(const uint16x8_t & v0, const uint16x8_t & v1) { return vqsubq_u16(v0, v1); }
inline int16x8_t vqsubq(const int16x8_t & v0, const int16x8_t & v1) { return vqsubq_s16(v0, v1); }
inline uint32x4_t vqsubq(const uint32x4_t & v0, const uint32x4_t & v1) { return vqsubq_u32(v0, v1); }
inline int32x4_t vqsubq(const int32x4_t & v0, const int32x4_t & v1) { return vqsubq_s32(v0, v1); }
inline uint64x2_t vqsubq(const uint64x2_t & v0, const uint64x2_t & v1) { return vqsubq_u64(v0, v1); }
inline int64x2_t vqsubq(const int64x2_t & v0, const int64x2_t & v1) { return vqsubq_s64(v0, v1); }
////////////////////////////// vqsub ///////////////////////
inline uint8x8_t vqsub(const uint8x8_t & v0, const uint8x8_t & v1) { return vqsub_u8 (v0, v1); }
inline int8x8_t vqsub(const int8x8_t & v0, const int8x8_t & v1) { return vqsub_s8 (v0, v1); }
inline uint16x4_t vqsub(const uint16x4_t & v0, const uint16x4_t & v1) { return vqsub_u16(v0, v1); }
inline int16x4_t vqsub(const int16x4_t & v0, const int16x4_t & v1) { return vqsub_s16(v0, v1); }
inline uint32x2_t vqsub(const uint32x2_t & v0, const uint32x2_t & v1) { return vqsub_u32(v0, v1); }
inline int32x2_t vqsub(const int32x2_t & v0, const int32x2_t & v1) { return vqsub_s32(v0, v1); }
inline uint64x1_t vqsub(const uint64x1_t & v0, const uint64x1_t & v1) { return vqsub_u64(v0, v1); }
inline int64x1_t vqsub(const int64x1_t & v0, const int64x1_t & v1) { return vqsub_s64(v0, v1); }
////////////////////////////// vmull ///////////////////////
inline uint16x8_t vmull(const uint8x8_t & v0, const uint8x8_t & v1) { return vmull_u8 (v0, v1); }
inline int16x8_t vmull(const int8x8_t & v0, const int8x8_t & v1) { return vmull_s8 (v0, v1); }
inline uint32x4_t vmull(const uint16x4_t & v0, const uint16x4_t & v1) { return vmull_u16(v0, v1); }
inline int32x4_t vmull(const int16x4_t & v0, const int16x4_t & v1) { return vmull_s16(v0, v1); }
inline uint64x2_t vmull(const uint32x2_t & v0, const uint32x2_t & v1) { return vmull_u32(v0, v1); }
inline int64x2_t vmull(const int32x2_t & v0, const int32x2_t & v1) { return vmull_s32(v0, v1); }
////////////////////////////// vrev64q ///////////////////////
inline uint8x16_t vrev64q(const uint8x16_t & v) { return vrev64q_u8 (v); }
inline int8x16_t vrev64q(const int8x16_t & v) { return vrev64q_s8 (v); }
inline uint16x8_t vrev64q(const uint16x8_t & v) { return vrev64q_u16(v); }
inline int16x8_t vrev64q(const int16x8_t & v) { return vrev64q_s16(v); }
inline uint32x4_t vrev64q(const uint32x4_t & v) { return vrev64q_u32(v); }
inline int32x4_t vrev64q(const int32x4_t & v) { return vrev64q_s32(v); }
inline float32x4_t vrev64q(const float32x4_t & v) { return vrev64q_f32(v); }
////////////////////////////// vrev64 ///////////////////////
inline uint8x8_t vrev64(const uint8x8_t & v) { return vrev64_u8 (v); }
inline int8x8_t vrev64(const int8x8_t & v) { return vrev64_s8 (v); }
inline uint16x4_t vrev64(const uint16x4_t & v) { return vrev64_u16(v); }
inline int16x4_t vrev64(const int16x4_t & v) { return vrev64_s16(v); }
inline uint32x2_t vrev64(const uint32x2_t & v) { return vrev64_u32(v); }
inline int32x2_t vrev64(const int32x2_t & v) { return vrev64_s32(v); }
inline float32x2_t vrev64(const float32x2_t & v) { return vrev64_f32(v); }
////////////////////////////// vceqq ///////////////////////
inline uint8x16_t vceqq(const uint8x16_t & v0, const uint8x16_t & v1) { return vceqq_u8 (v0, v1); }
inline uint8x16_t vceqq(const int8x16_t & v0, const int8x16_t & v1) { return vceqq_s8 (v0, v1); }
inline uint16x8_t vceqq(const uint16x8_t & v0, const uint16x8_t & v1) { return vceqq_u16(v0, v1); }
inline uint16x8_t vceqq(const int16x8_t & v0, const int16x8_t & v1) { return vceqq_s16(v0, v1); }
inline uint32x4_t vceqq(const uint32x4_t & v0, const uint32x4_t & v1) { return vceqq_u32(v0, v1); }
inline uint32x4_t vceqq(const int32x4_t & v0, const int32x4_t & v1) { return vceqq_s32(v0, v1); }
inline uint32x4_t vceqq(const float32x4_t & v0, const float32x4_t & v1) { return vceqq_f32(v0, v1); }
////////////////////////////// vceq ///////////////////////
inline uint8x8_t vceq(const uint8x8_t & v0, const uint8x8_t & v1) { return vceq_u8 (v0, v1); }
inline uint8x8_t vceq(const int8x8_t & v0, const int8x8_t & v1) { return vceq_s8 (v0, v1); }
inline uint16x4_t vceq(const uint16x4_t & v0, const uint16x4_t & v1) { return vceq_u16(v0, v1); }
inline uint16x4_t vceq(const int16x4_t & v0, const int16x4_t & v1) { return vceq_s16(v0, v1); }
inline uint32x2_t vceq(const uint32x2_t & v0, const uint32x2_t & v1) { return vceq_u32(v0, v1); }
inline uint32x2_t vceq(const int32x2_t & v0, const int32x2_t & v1) { return vceq_s32(v0, v1); }
inline uint32x2_t vceq(const float32x2_t & v0, const float32x2_t & v1) { return vceq_f32(v0, v1); }
////////////////////////////// vcgtq ///////////////////////
inline uint8x16_t vcgtq(const uint8x16_t & v0, const uint8x16_t & v1) { return vcgtq_u8 (v0, v1); }
inline uint8x16_t vcgtq(const int8x16_t & v0, const int8x16_t & v1) { return vcgtq_s8 (v0, v1); }
inline uint16x8_t vcgtq(const uint16x8_t & v0, const uint16x8_t & v1) { return vcgtq_u16(v0, v1); }
inline uint16x8_t vcgtq(const int16x8_t & v0, const int16x8_t & v1) { return vcgtq_s16(v0, v1); }
inline uint32x4_t vcgtq(const uint32x4_t & v0, const uint32x4_t & v1) { return vcgtq_u32(v0, v1); }
inline uint32x4_t vcgtq(const int32x4_t & v0, const int32x4_t & v1) { return vcgtq_s32(v0, v1); }
inline uint32x4_t vcgtq(const float32x4_t & v0, const float32x4_t & v1) { return vcgtq_f32(v0, v1); }
////////////////////////////// vcgt ///////////////////////
inline uint8x8_t vcgt(const uint8x8_t & v0, const uint8x8_t & v1) { return vcgt_u8 (v0, v1); }
inline uint8x8_t vcgt(const int8x8_t & v0, const int8x8_t & v1) { return vcgt_s8 (v0, v1); }
inline uint16x4_t vcgt(const uint16x4_t & v0, const uint16x4_t & v1) { return vcgt_u16(v0, v1); }
inline uint16x4_t vcgt(const int16x4_t & v0, const int16x4_t & v1) { return vcgt_s16(v0, v1); }
inline uint32x2_t vcgt(const uint32x2_t & v0, const uint32x2_t & v1) { return vcgt_u32(v0, v1); }
inline uint32x2_t vcgt(const int32x2_t & v0, const int32x2_t & v1) { return vcgt_s32(v0, v1); }
inline uint32x2_t vcgt(const float32x2_t & v0, const float32x2_t & v1) { return vcgt_f32(v0, v1); }
////////////////////////////// vcgeq ///////////////////////
inline uint8x16_t vcgeq(const uint8x16_t & v0, const uint8x16_t & v1) { return vcgeq_u8 (v0, v1); }
inline uint8x16_t vcgeq(const int8x16_t & v0, const int8x16_t & v1) { return vcgeq_s8 (v0, v1); }
inline uint16x8_t vcgeq(const uint16x8_t & v0, const uint16x8_t & v1) { return vcgeq_u16(v0, v1); }
inline uint16x8_t vcgeq(const int16x8_t & v0, const int16x8_t & v1) { return vcgeq_s16(v0, v1); }
inline uint32x4_t vcgeq(const uint32x4_t & v0, const uint32x4_t & v1) { return vcgeq_u32(v0, v1); }
inline uint32x4_t vcgeq(const int32x4_t & v0, const int32x4_t & v1) { return vcgeq_s32(v0, v1); }
inline uint32x4_t vcgeq(const float32x4_t & v0, const float32x4_t & v1) { return vcgeq_f32(v0, v1); }
////////////////////////////// vcge ///////////////////////
inline uint8x8_t vcge(const uint8x8_t & v0, const uint8x8_t & v1) { return vcge_u8 (v0, v1); }
inline uint8x8_t vcge(const int8x8_t & v0, const int8x8_t & v1) { return vcge_s8 (v0, v1); }
inline uint16x4_t vcge(const uint16x4_t & v0, const uint16x4_t & v1) { return vcge_u16(v0, v1); }
inline uint16x4_t vcge(const int16x4_t & v0, const int16x4_t & v1) { return vcge_s16(v0, v1); }
inline uint32x2_t vcge(const uint32x2_t & v0, const uint32x2_t & v1) { return vcge_u32(v0, v1); }
inline uint32x2_t vcge(const int32x2_t & v0, const int32x2_t & v1) { return vcge_s32(v0, v1); }
inline uint32x2_t vcge(const float32x2_t & v0, const float32x2_t & v1) { return vcge_f32(v0, v1); }
////////////////////////////// vandq ///////////////////////
inline uint8x16_t vandq(const uint8x16_t & v0, const uint8x16_t & v1) { return vandq_u8 (v0, v1); }
inline int8x16_t vandq(const int8x16_t & v0, const int8x16_t & v1) { return vandq_s8 (v0, v1); }
inline uint16x8_t vandq(const uint16x8_t & v0, const uint16x8_t & v1) { return vandq_u16(v0, v1); }
inline int16x8_t vandq(const int16x8_t & v0, const int16x8_t & v1) { return vandq_s16(v0, v1); }
inline uint32x4_t vandq(const uint32x4_t & v0, const uint32x4_t & v1) { return vandq_u32(v0, v1); }
inline int32x4_t vandq(const int32x4_t & v0, const int32x4_t & v1) { return vandq_s32(v0, v1); }
////////////////////////////// vand ///////////////////////
inline uint8x8_t vand(const uint8x8_t & v0, const uint8x8_t & v1) { return vand_u8 (v0, v1); }
inline int8x8_t vand(const int8x8_t & v0, const int8x8_t & v1) { return vand_s8 (v0, v1); }
inline uint16x4_t vand(const uint16x4_t & v0, const uint16x4_t & v1) { return vand_u16(v0, v1); }
inline int16x4_t vand(const int16x4_t & v0, const int16x4_t & v1) { return vand_s16(v0, v1); }
inline uint32x2_t vand(const uint32x2_t & v0, const uint32x2_t & v1) { return vand_u32(v0, v1); }
inline int32x2_t vand(const int32x2_t & v0, const int32x2_t & v1) { return vand_s32(v0, v1); }
////////////////////////////// vmovn ///////////////////////
inline uint8x8_t vmovn(const uint16x8_t & v) { return vmovn_u16(v); }
inline int8x8_t vmovn(const int16x8_t & v) { return vmovn_s16(v); }
inline uint16x4_t vmovn(const uint32x4_t & v) { return vmovn_u32(v); }
inline int16x4_t vmovn(const int32x4_t & v) { return vmovn_s32(v); }
inline uint32x2_t vmovn(const uint64x2_t & v) { return vmovn_u64(v); }
inline int32x2_t vmovn(const int64x2_t & v) { return vmovn_s64(v); }
////////////////////////////// vqmovn ///////////////////////
inline uint8x8_t vqmovn(const uint16x8_t & v) { return vqmovn_u16(v); }
inline int8x8_t vqmovn(const int16x8_t & v) { return vqmovn_s16(v); }
inline uint16x4_t vqmovn(const uint32x4_t & v) { return vqmovn_u32(v); }
inline int16x4_t vqmovn(const int32x4_t & v) { return vqmovn_s32(v); }
inline uint32x2_t vqmovn(const uint64x2_t & v) { return vqmovn_u64(v); }
inline int32x2_t vqmovn(const int64x2_t & v) { return vqmovn_s64(v); }
////////////////////////////// vmovl ///////////////////////
inline uint16x8_t vmovl(const uint8x8_t & v) { return vmovl_u8(v); }
inline int16x8_t vmovl(const int8x8_t & v) { return vmovl_s8(v); }
inline uint32x4_t vmovl(const uint16x4_t & v) { return vmovl_u16(v); }
inline int32x4_t vmovl(const int16x4_t & v) { return vmovl_s16(v); }
////////////////////////////// vmvnq ///////////////////////
inline uint8x16_t vmvnq(const uint8x16_t & v) { return vmvnq_u8 (v); }
inline int8x16_t vmvnq(const int8x16_t & v) { return vmvnq_s8 (v); }
inline uint16x8_t vmvnq(const uint16x8_t & v) { return vmvnq_u16(v); }
inline int16x8_t vmvnq(const int16x8_t & v) { return vmvnq_s16(v); }
inline uint32x4_t vmvnq(const uint32x4_t & v) { return vmvnq_u32(v); }
inline int32x4_t vmvnq(const int32x4_t & v) { return vmvnq_s32(v); }
////////////////////////////// vmvn ///////////////////////
inline uint8x8_t vmvn(const uint8x8_t & v) { return vmvn_u8 (v); }
inline int8x8_t vmvn(const int8x8_t & v) { return vmvn_s8 (v); }
inline uint16x4_t vmvn(const uint16x4_t & v) { return vmvn_u16(v); }
inline int16x4_t vmvn(const int16x4_t & v) { return vmvn_s16(v); }
inline uint32x2_t vmvn(const uint32x2_t & v) { return vmvn_u32(v); }
inline int32x2_t vmvn(const int32x2_t & v) { return vmvn_s32(v); }
////////////////////////////// vbicq ///////////////////////
inline uint8x16_t vbicq(const uint8x16_t & v0, const uint8x16_t & v1) { return vbicq_u8 (v0, v1); }
inline int8x16_t vbicq(const int8x16_t & v0, const int8x16_t & v1) { return vbicq_s8 (v0, v1); }
inline uint16x8_t vbicq(const uint16x8_t & v0, const uint16x8_t & v1) { return vbicq_u16(v0, v1); }
inline int16x8_t vbicq(const int16x8_t & v0, const int16x8_t & v1) { return vbicq_s16(v0, v1); }
inline uint32x4_t vbicq(const uint32x4_t & v0, const uint32x4_t & v1) { return vbicq_u32(v0, v1); }
inline int32x4_t vbicq(const int32x4_t & v0, const int32x4_t & v1) { return vbicq_s32(v0, v1); }
inline uint64x2_t vbicq(const uint64x2_t & v0, const uint64x2_t & v1) { return vbicq_u64(v0, v1); }
inline int64x2_t vbicq(const int64x2_t & v0, const int64x2_t & v1) { return vbicq_s64(v0, v1); }
////////////////////////////// vbic ///////////////////////
inline uint8x8_t vbic(const uint8x8_t & v0, const uint8x8_t & v1) { return vbic_u8 (v0, v1); }
inline int8x8_t vbic(const int8x8_t & v0, const int8x8_t & v1) { return vbic_s8 (v0, v1); }
inline uint16x4_t vbic(const uint16x4_t & v0, const uint16x4_t & v1) { return vbic_u16(v0, v1); }
inline int16x4_t vbic(const int16x4_t & v0, const int16x4_t & v1) { return vbic_s16(v0, v1); }
inline uint32x2_t vbic(const uint32x2_t & v0, const uint32x2_t & v1) { return vbic_u32(v0, v1); }
inline int32x2_t vbic(const int32x2_t & v0, const int32x2_t & v1) { return vbic_s32(v0, v1); }
inline uint64x1_t vbic(const uint64x1_t & v0, const uint64x1_t & v1) { return vbic_u64(v0, v1); }
inline int64x1_t vbic(const int64x1_t & v0, const int64x1_t & v1) { return vbic_s64(v0, v1); }
////////////////////////////// vtransform ///////////////////////
template <typename Op>
void vtransform(Size2D size,
const typename Op::type * src0Base, ptrdiff_t src0Stride,
const typename Op::type * src1Base, ptrdiff_t src1Stride,
typename Op::type * dstBase, ptrdiff_t dstStride, const Op & op)
{
typedef typename Op::type type;
typedef typename VecTraits<type>::vec128 vec128;
typedef typename VecTraits<type>::vec64 vec64;
if (src0Stride == src1Stride && src0Stride == dstStride &&
src0Stride == (ptrdiff_t)(size.width * sizeof(type)))
{
size.width *= size.height;
size.height = 1;
}
const size_t step_base = 32 / sizeof(type);
size_t roiw_base = size.width >= (step_base - 1) ? size.width - step_base + 1 : 0;
const size_t step_tail = 8 / sizeof(type);
size_t roiw_tail = size.width >= (step_tail - 1) ? size.width - step_tail + 1 : 0;
for (size_t y = 0; y < size.height; ++y)
{
const type * src0 = internal::getRowPtr(src0Base, src0Stride, y);
const type * src1 = internal::getRowPtr(src1Base, src1Stride, y);
typename Op::type * dst = internal::getRowPtr(dstBase, dstStride, y);
size_t x = 0;
for( ; x < roiw_base; x += step_base )
{
internal::prefetch(src0 + x);
internal::prefetch(src1 + x);
vec128 v_src00 = vld1q(src0 + x), v_src01 = vld1q(src0 + x + 16 / sizeof(type));
vec128 v_src10 = vld1q(src1 + x), v_src11 = vld1q(src1 + x + 16 / sizeof(type));
vec128 v_dst;
op(v_src00, v_src10, v_dst);
vst1q(dst + x, v_dst);
op(v_src01, v_src11, v_dst);
vst1q(dst + x + 16 / sizeof(type), v_dst);
}
for( ; x < roiw_tail; x += step_tail )
{
vec64 v_src0 = vld1(src0 + x);
vec64 v_src1 = vld1(src1 + x);
vec64 v_dst;
op(v_src0, v_src1, v_dst);
vst1(dst + x, v_dst);
}
for (; x < size.width; ++x)
{
op(src0 + x, src1 + x, dst + x);
}
}
}
} }
#endif // CAROTENE_NEON
#endif
+434
View File
@@ -0,0 +1,434 @@
/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2015, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#include "remap.hpp"
namespace CAROTENE_NS {
bool isWarpAffineNearestNeighborSupported(const Size2D &ssize)
{
#if SIZE_MAX > UINT32_MAX
return !(ssize.width > 0xffffFFFF || ssize.height > 0xffffFFFF) && // Restrict image size since internal index evaluation
// is performed with u32
isSupportedConfiguration();
#else
(void)ssize;
return isSupportedConfiguration();
#endif
}
bool isWarpAffineLinearSupported(const Size2D &ssize)
{
#if SIZE_MAX > UINT32_MAX
return !(ssize.width > 0xffffFFFF || ssize.height > 0xffffFFFF) && // Restrict image size since internal index evaluation
// is performed with u32
isSupportedConfiguration();
#else
(void)ssize;
return isSupportedConfiguration();
#endif
}
void warpAffineNearestNeighbor(const Size2D &ssize, const Size2D &dsize,
const u8 * srcBase, ptrdiff_t srcStride,
const f32 * m,
u8 * dstBase, ptrdiff_t dstStride,
BORDER_MODE borderMode, u8 borderValue)
{
internal::assertSupportedConfiguration(isWarpAffineNearestNeighborSupported(ssize));
#ifdef CAROTENE_NEON
using namespace internal;
s32 _map[BLOCK_SIZE * BLOCK_SIZE + 16];
s32 * map = alignPtr(_map, 16);
int32x4_t v_width4 = vdupq_n_s32(ssize.width - 1), v_height4 = vdupq_n_s32(ssize.height - 1);
int32x4_t v_step4 = vdupq_n_s32(srcStride);
float32x4_t v_4 = vdupq_n_f32(4.0f);
float32x4_t v_m0 = vdupq_n_f32(m[0]);
float32x4_t v_m1 = vdupq_n_f32(m[1]);
float32x4_t v_m2 = vdupq_n_f32(m[2]);
float32x4_t v_m3 = vdupq_n_f32(m[3]);
float32x4_t v_m4 = vdupq_n_f32(m[4]);
float32x4_t v_m5 = vdupq_n_f32(m[5]);
if (borderMode == BORDER_MODE_REPLICATE)
{
int32x4_t v_zero4 = vdupq_n_s32(0);
for (size_t i = 0; i < dsize.height; i += BLOCK_SIZE)
{
size_t blockHeight = std::min<size_t>(BLOCK_SIZE, dsize.height - i);
for (size_t j = 0; j < dsize.width; j += BLOCK_SIZE)
{
size_t blockWidth = std::min<size_t>(BLOCK_SIZE, dsize.width - j);
// compute table
for (size_t y = 0; y < blockHeight; ++y)
{
s32 * map_row = getRowPtr(&map[0], blockWidth * sizeof(s32), y);
size_t x = 0, y_ = y + i;
f32 indeces[4] = { j + 0.0f, j + 1.0f, j + 2.0f, j + 3.0f };
float32x4_t v_x = vld1q_f32(indeces), v_y = vdupq_n_f32(y_);
float32x4_t v_yx = vmlaq_f32(v_m4, v_m2, v_y), v_yy = vmlaq_f32(v_m5, v_m3, v_y);
for ( ; x + 4 <= blockWidth; x += 4)
{
float32x4_t v_src_xf = vmlaq_f32(v_yx, v_m0, v_x);
float32x4_t v_src_yf = vmlaq_f32(v_yy, v_m1, v_x);
int32x4_t v_src_x = vmaxq_s32(v_zero4, vminq_s32(v_width4, vcvtq_s32_f32(v_src_xf)));
int32x4_t v_src_y = vmaxq_s32(v_zero4, vminq_s32(v_height4, vcvtq_s32_f32(v_src_yf)));
int32x4_t v_src_index = vmlaq_s32(v_src_x, v_src_y, v_step4);
vst1q_s32(map_row + x, v_src_index);
v_x = vaddq_f32(v_x, v_4);
}
f32 yx = m[2] * y_ + m[4], yy = m[3] * y_ + m[5];
for (ptrdiff_t x_ = x + j; x < blockWidth; ++x, ++x_)
{
f32 src_x_f = m[0] * x_ + yx;
f32 src_y_f = m[1] * x_ + yy;
s32 src_x = floorf(src_x_f), src_y = floorf(src_y_f);
src_x = std::max(0, std::min<s32>(ssize.width - 1, src_x));
src_y = std::max(0, std::min<s32>(ssize.height - 1, src_y));
map_row[x] = src_y * srcStride + src_x;
}
}
// make remap
remapNearestNeighborReplicate(Size2D(blockWidth, blockHeight), srcBase, &map[0],
getRowPtr(dstBase, dstStride, i) + j, dstStride);
}
}
}
else if (borderMode == BORDER_MODE_CONSTANT)
{
int32x4_t v_m1_4 = vdupq_n_s32(-1);
float32x4_t v_zero4 = vdupq_n_f32(0.0f);
for (size_t i = 0; i < dsize.height; i += BLOCK_SIZE)
{
size_t blockHeight = std::min<size_t>(BLOCK_SIZE, dsize.height - i);
for (size_t j = 0; j < dsize.width; j += BLOCK_SIZE)
{
size_t blockWidth = std::min<size_t>(BLOCK_SIZE, dsize.width - j);
// compute table
for (size_t y = 0; y < blockHeight; ++y)
{
s32 * map_row = getRowPtr(&map[0], blockWidth * sizeof(s32), y);
size_t x = 0, y_ = y + i;
f32 indeces[4] = { j + 0.0f, j + 1.0f, j + 2.0f, j + 3.0f };
float32x4_t v_x = vld1q_f32(indeces), v_y = vdupq_n_f32(y_);
float32x4_t v_yx = vmlaq_f32(v_m4, v_m2, v_y), v_yy = vmlaq_f32(v_m5, v_m3, v_y);
for ( ; x + 4 <= blockWidth; x += 4)
{
float32x4_t v_src_xf = vmlaq_f32(v_yx, v_m0, v_x);
float32x4_t v_src_yf = vmlaq_f32(v_yy, v_m1, v_x);
int32x4_t v_src_x = vcvtq_s32_f32(v_src_xf);
int32x4_t v_src_y = vcvtq_s32_f32(v_src_yf);
uint32x4_t v_mask = vandq_u32(vandq_u32(vcgeq_f32(v_src_xf, v_zero4), vcleq_s32(v_src_x, v_width4)),
vandq_u32(vcgeq_f32(v_src_yf, v_zero4), vcleq_s32(v_src_y, v_height4)));
int32x4_t v_src_index = vbslq_s32(v_mask, vmlaq_s32(v_src_x, v_src_y, v_step4), v_m1_4);
vst1q_s32(map_row + x, v_src_index);
v_x = vaddq_f32(v_x, v_4);
}
f32 yx = m[2] * y_ + m[4], yy = m[3] * y_ + m[5];
for (ptrdiff_t x_ = x + j; x < blockWidth; ++x, ++x_)
{
f32 src_x_f = m[0] * x_ + yx;
f32 src_y_f = m[1] * x_ + yy;
s32 src_x = floorf(src_x_f), src_y = floorf(src_y_f);
map_row[x] = (src_x >= 0) && (src_x < (s32)ssize.width) &&
(src_y >= 0) && (src_y < (s32)ssize.height) ? src_y * srcStride + src_x : -1;
}
}
// make remap
remapNearestNeighborConst(Size2D(blockWidth, blockHeight), srcBase, &map[0],
getRowPtr(dstBase, dstStride, i) + j, dstStride, borderValue);
}
}
}
#else
(void)ssize;
(void)dsize;
(void)srcBase;
(void)srcStride;
(void)m;
(void)dstBase;
(void)dstStride;
(void)borderMode;
(void)borderValue;
#endif
}
void warpAffineLinear(const Size2D &ssize, const Size2D &dsize,
const u8 * srcBase, ptrdiff_t srcStride,
const f32 * m,
u8 * dstBase, ptrdiff_t dstStride,
BORDER_MODE borderMode, u8 borderValue)
{
internal::assertSupportedConfiguration(isWarpAffineLinearSupported(ssize));
#ifdef CAROTENE_NEON
using namespace internal;
s32 _map[((BLOCK_SIZE * BLOCK_SIZE) << 2) + 16];
f32 _coeffs[((BLOCK_SIZE * BLOCK_SIZE) << 1) + 16];
s32 * map = alignPtr(_map, 16);
f32 * coeffs = alignPtr(_coeffs, 16);
int32x4_t v_width4 = vdupq_n_s32(ssize.width - 1), v_height4 = vdupq_n_s32(ssize.height - 1);
int32x4_t v_step4 = vdupq_n_s32(srcStride), v_1 = vdupq_n_s32(1);
float32x4_t v_zero4f = vdupq_n_f32(0.0f), v_one4f = vdupq_n_f32(1.0f);
float32x4_t v_m0 = vdupq_n_f32(m[0]);
float32x4_t v_m1 = vdupq_n_f32(m[1]);
float32x4_t v_m2 = vdupq_n_f32(m[2]);
float32x4_t v_m3 = vdupq_n_f32(m[3]);
float32x4_t v_m4 = vdupq_n_f32(m[4]);
float32x4_t v_m5 = vdupq_n_f32(m[5]);
if (borderMode == BORDER_MODE_REPLICATE)
{
int32x4_t v_zero4 = vdupq_n_s32(0);
for (size_t i = 0; i < dsize.height; i += BLOCK_SIZE)
{
size_t blockHeight = std::min<size_t>(BLOCK_SIZE, dsize.height - i);
for (size_t j = 0; j < dsize.width; j += BLOCK_SIZE)
{
size_t blockWidth = std::min<size_t>(BLOCK_SIZE, dsize.width - j);
// compute table
for (size_t y = 0; y < blockHeight; ++y)
{
s32 * map_row = getRowPtr(map, blockWidth * sizeof(s32) * 4, y);
f32 * coeff_row = getRowPtr(coeffs, blockWidth * sizeof(f32) * 2, y);
size_t x = 0, y_ = y + i;
f32 indeces[4] = { j + 0.0f, j + 1.0f, j + 2.0f, j + 3.0f };
float32x4_t v_x = vld1q_f32(indeces), v_y = vdupq_n_f32(y_), v_4 = vdupq_n_f32(4.0f);
float32x4_t v_yx = vmlaq_f32(v_m4, v_m2, v_y), v_yy = vmlaq_f32(v_m5, v_m3, v_y);
for ( ; x + 4 <= blockWidth; x += 4)
{
float32x4_t v_src_xf = vmlaq_f32(v_yx, v_m0, v_x);
float32x4_t v_src_yf = vmlaq_f32(v_yy, v_m1, v_x);
int32x4_t v_src_x = vcvtq_s32_f32(v_src_xf);
int32x4_t v_src_y = vcvtq_s32_f32(v_src_yf);
float32x4x2_t v_coeff;
v_coeff.val[0] = vsubq_f32(v_src_xf, vcvtq_f32_s32(v_src_x));
v_coeff.val[1] = vsubq_f32(v_src_yf, vcvtq_f32_s32(v_src_y));
uint32x4_t v_maskx = vcltq_f32(v_coeff.val[0], v_zero4f);
uint32x4_t v_masky = vcltq_f32(v_coeff.val[1], v_zero4f);
v_coeff.val[0] = vbslq_f32(v_maskx, vaddq_f32(v_one4f, v_coeff.val[0]), v_coeff.val[0]);
v_coeff.val[1] = vbslq_f32(v_masky, vaddq_f32(v_one4f, v_coeff.val[1]), v_coeff.val[1]);
v_src_x = vbslq_s32(v_maskx, vsubq_s32(v_src_x, v_1), v_src_x);
v_src_y = vbslq_s32(v_masky, vsubq_s32(v_src_y, v_1), v_src_y);
int32x4_t v_dst0_x = vmaxq_s32(v_zero4, vminq_s32(v_width4, v_src_x));
int32x4_t v_dst0_y = vmaxq_s32(v_zero4, vminq_s32(v_height4, v_src_y));
int32x4_t v_dst1_x = vmaxq_s32(v_zero4, vminq_s32(v_width4, vaddq_s32(v_1, v_src_x)));
int32x4_t v_dst1_y = vmaxq_s32(v_zero4, vminq_s32(v_height4, vaddq_s32(v_1, v_src_y)));
int32x4x4_t v_dst_index;
v_dst_index.val[0] = vmlaq_s32(v_dst0_x, v_dst0_y, v_step4);
v_dst_index.val[1] = vmlaq_s32(v_dst1_x, v_dst0_y, v_step4);
v_dst_index.val[2] = vmlaq_s32(v_dst0_x, v_dst1_y, v_step4);
v_dst_index.val[3] = vmlaq_s32(v_dst1_x, v_dst1_y, v_step4);
vst2q_f32(coeff_row + (x << 1), v_coeff);
vst4q_s32(map_row + (x << 2), v_dst_index);
v_x = vaddq_f32(v_x, v_4);
}
f32 yx = m[2] * y_ + m[4], yy = m[3] * y_ + m[5];
for (ptrdiff_t x_ = x + j; x < blockWidth; ++x, ++x_)
{
f32 src_x_f = m[0] * x_ + yx;
f32 src_y_f = m[1] * x_ + yy;
s32 src0_x = (s32)floorf(src_x_f);
s32 src0_y = (s32)floorf(src_y_f);
coeff_row[(x << 1) + 0] = src_x_f - src0_x;
coeff_row[(x << 1) + 1] = src_y_f - src0_y;
s32 src1_y = std::max(0, std::min<s32>(ssize.height - 1, src0_y + 1));
src0_y = std::max(0, std::min<s32>(ssize.height - 1, src0_y));
s32 src1_x = std::max(0, std::min<s32>(ssize.width - 1, src0_x + 1));
src0_x = std::max(0, std::min<s32>(ssize.width - 1, src0_x));
map_row[(x << 2) + 0] = src0_y * srcStride + src0_x;
map_row[(x << 2) + 1] = src0_y * srcStride + src1_x;
map_row[(x << 2) + 2] = src1_y * srcStride + src0_x;
map_row[(x << 2) + 3] = src1_y * srcStride + src1_x;
}
}
remapLinearReplicate(Size2D(blockWidth, blockHeight),
srcBase, &map[0], &coeffs[0],
getRowPtr(dstBase, dstStride, i) + j, dstStride);
}
}
}
else if (borderMode == BORDER_MODE_CONSTANT)
{
float32x4_t v_zero4 = vdupq_n_f32(0.0f);
int32x4_t v_m1_4 = vdupq_n_s32(-1);
for (size_t i = 0; i < dsize.height; i += BLOCK_SIZE)
{
size_t blockHeight = std::min<size_t>(BLOCK_SIZE, dsize.height - i);
for (size_t j = 0; j < dsize.width; j += BLOCK_SIZE)
{
size_t blockWidth = std::min<size_t>(BLOCK_SIZE, dsize.width - j);
// compute table
for (size_t y = 0; y < blockHeight; ++y)
{
s32 * map_row = getRowPtr(map, blockWidth * sizeof(s32) * 4, y);
f32 * coeff_row = getRowPtr(coeffs, blockWidth * sizeof(f32) * 2, y);
size_t x = 0, y_ = y + i;
f32 indeces[4] = { j + 0.0f, j + 1.0f, j + 2.0f, j + 3.0f };
float32x4_t v_x = vld1q_f32(indeces), v_y = vdupq_n_f32(y_), v_4 = vdupq_n_f32(4.0f);
float32x4_t v_yx = vmlaq_f32(v_m4, v_m2, v_y), v_yy = vmlaq_f32(v_m5, v_m3, v_y);
for ( ; x + 4 <= blockWidth; x += 4)
{
float32x4_t v_src_xf = vmlaq_f32(v_yx, v_m0, v_x);
float32x4_t v_src_yf = vmlaq_f32(v_yy, v_m1, v_x);
int32x4_t v_src_x0 = vcvtq_s32_f32(v_src_xf);
int32x4_t v_src_y0 = vcvtq_s32_f32(v_src_yf);
float32x4x2_t v_coeff;
v_coeff.val[0] = vsubq_f32(v_src_xf, vcvtq_f32_s32(v_src_x0));
v_coeff.val[1] = vsubq_f32(v_src_yf, vcvtq_f32_s32(v_src_y0));
uint32x4_t v_maskx = vcltq_f32(v_coeff.val[0], v_zero4f);
uint32x4_t v_masky = vcltq_f32(v_coeff.val[1], v_zero4f);
v_coeff.val[0] = vbslq_f32(v_maskx, vaddq_f32(v_one4f, v_coeff.val[0]), v_coeff.val[0]);
v_coeff.val[1] = vbslq_f32(v_masky, vaddq_f32(v_one4f, v_coeff.val[1]), v_coeff.val[1]);
v_src_x0 = vbslq_s32(v_maskx, vsubq_s32(v_src_x0, v_1), v_src_x0);
v_src_y0 = vbslq_s32(v_masky, vsubq_s32(v_src_y0, v_1), v_src_y0);
int32x4_t v_src_x1 = vaddq_s32(v_src_x0, v_1);
int32x4_t v_src_y1 = vaddq_s32(v_src_y0, v_1);
int32x4x4_t v_dst_index;
v_dst_index.val[0] = vmlaq_s32(v_src_x0, v_src_y0, v_step4);
v_dst_index.val[1] = vmlaq_s32(v_src_x1, v_src_y0, v_step4);
v_dst_index.val[2] = vmlaq_s32(v_src_x0, v_src_y1, v_step4);
v_dst_index.val[3] = vmlaq_s32(v_src_x1, v_src_y1, v_step4);
uint32x4_t v_mask_x0 = vandq_u32(vcgeq_f32(v_src_xf, v_zero4), vcleq_s32(v_src_x0, v_width4));
uint32x4_t v_mask_x1 = vandq_u32(vcgeq_f32(vaddq_f32(v_src_xf, v_one4f), v_zero4), vcleq_s32(v_src_x1, v_width4));
uint32x4_t v_mask_y0 = vandq_u32(vcgeq_f32(v_src_yf, v_zero4), vcleq_s32(v_src_y0, v_height4));
uint32x4_t v_mask_y1 = vandq_u32(vcgeq_f32(vaddq_f32(v_src_yf, v_one4f), v_zero4), vcleq_s32(v_src_y1, v_height4));
v_dst_index.val[0] = vbslq_s32(vandq_u32(v_mask_x0, v_mask_y0), v_dst_index.val[0], v_m1_4);
v_dst_index.val[1] = vbslq_s32(vandq_u32(v_mask_x1, v_mask_y0), v_dst_index.val[1], v_m1_4);
v_dst_index.val[2] = vbslq_s32(vandq_u32(v_mask_x0, v_mask_y1), v_dst_index.val[2], v_m1_4);
v_dst_index.val[3] = vbslq_s32(vandq_u32(v_mask_x1, v_mask_y1), v_dst_index.val[3], v_m1_4);
vst2q_f32(coeff_row + (x << 1), v_coeff);
vst4q_s32(map_row + (x << 2), v_dst_index);
v_x = vaddq_f32(v_x, v_4);
}
f32 yx = m[2] * y_ + m[4], yy = m[3] * y_ + m[5];
for (ptrdiff_t x_ = x + j; x < blockWidth; ++x, ++x_)
{
f32 src_x_f = m[0] * x_ + yx;
f32 src_y_f = m[1] * x_ + yy;
s32 src0_x = (s32)floorf(src_x_f), src1_x = src0_x + 1;
s32 src0_y = (s32)floorf(src_y_f), src1_y = src0_y + 1;
coeff_row[(x << 1) + 0] = src_x_f - src0_x;
coeff_row[(x << 1) + 1] = src_y_f - src0_y;
map_row[(x << 2) + 0] = (src0_x >= 0) && (src0_x < (s32)ssize.width) &&
(src0_y >= 0) && (src0_y < (s32)ssize.height) ? src0_y * srcStride + src0_x : -1;
map_row[(x << 2) + 1] = (src1_x >= 0) && (src1_x < (s32)ssize.width) &&
(src0_y >= 0) && (src0_y < (s32)ssize.height) ? src0_y * srcStride + src1_x : -1;
map_row[(x << 2) + 2] = (src0_x >= 0) && (src0_x < (s32)ssize.width) &&
(src1_y >= 0) && (src1_y < (s32)ssize.height) ? src1_y * srcStride + src0_x : -1;
map_row[(x << 2) + 3] = (src1_x >= 0) && (src1_x < (s32)ssize.width) &&
(src1_y >= 0) && (src1_y < (s32)ssize.height) ? src1_y * srcStride + src1_x : -1;
}
}
remapLinearConst(Size2D(blockWidth, blockHeight),
srcBase, &map[0], &coeffs[0],
getRowPtr(dstBase, dstStride, i) + j, dstStride, borderValue);
}
}
}
#else
(void)ssize;
(void)dsize;
(void)srcBase;
(void)srcStride;
(void)m;
(void)dstBase;
(void)dstStride;
(void)borderMode;
(void)borderValue;
#endif
}
} // namespace CAROTENE_NS
+464
View File
@@ -0,0 +1,464 @@
/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3-clause BSD License)
*
* Copyright (C) 2015, NVIDIA Corporation, all rights reserved.
* Third party copyrights are property of their respective owners.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort (including negligence or otherwise) arising in any way out of
* the use of this software, even if advised of the possibility of such damage.
*/
#include "remap.hpp"
namespace CAROTENE_NS {
bool isWarpPerspectiveNearestNeighborSupported(const Size2D &ssize)
{
#if SIZE_MAX > UINT32_MAX
return !(ssize.width > 0xffffFFFF || ssize.height > 0xffffFFFF) && // Restrict image size since internal index evaluation
// is performed with u32
isSupportedConfiguration();
#else
(void)ssize;
return isSupportedConfiguration();
#endif
}
bool isWarpPerspectiveLinearSupported(const Size2D &ssize)
{
#if SIZE_MAX > UINT32_MAX
return !(ssize.width > 0xffffFFFF || ssize.height > 0xffffFFFF) && // Restrict image size since internal index evaluation
// is performed with u32
isSupportedConfiguration();
#else
(void)ssize;
return isSupportedConfiguration();
#endif
}
void warpPerspectiveNearestNeighbor(const Size2D &ssize, const Size2D &dsize,
const u8 * srcBase, ptrdiff_t srcStride,
const f32 * m,
u8 * dstBase, ptrdiff_t dstStride,
BORDER_MODE borderMode, u8 borderValue)
{
internal::assertSupportedConfiguration(isWarpPerspectiveNearestNeighborSupported(ssize));
#ifdef CAROTENE_NEON
using namespace internal;
s32 _map[BLOCK_SIZE * BLOCK_SIZE + 16];
s32 * map = alignPtr(_map, 16);
int32x4_t v_width4 = vdupq_n_s32(ssize.width - 1), v_height4 = vdupq_n_s32(ssize.height - 1);
int32x4_t v_step4 = vdupq_n_s32(srcStride);
float32x4_t v_4 = vdupq_n_f32(4.0f);
float32x4_t v_m0 = vdupq_n_f32(m[0]);
float32x4_t v_m1 = vdupq_n_f32(m[1]);
float32x4_t v_m2 = vdupq_n_f32(m[2]);
float32x4_t v_m3 = vdupq_n_f32(m[3]);
float32x4_t v_m4 = vdupq_n_f32(m[4]);
float32x4_t v_m5 = vdupq_n_f32(m[5]);
float32x4_t v_m6 = vdupq_n_f32(m[6]);
float32x4_t v_m7 = vdupq_n_f32(m[7]);
float32x4_t v_m8 = vdupq_n_f32(m[8]);
if (borderMode == BORDER_MODE_REPLICATE)
{
int32x4_t v_zero4 = vdupq_n_s32(0);
for (size_t i = 0; i < dsize.height; i += BLOCK_SIZE)
{
size_t blockHeight = std::min<size_t>(BLOCK_SIZE, dsize.height - i);
for (size_t j = 0; j < dsize.width; j += BLOCK_SIZE)
{
size_t blockWidth = std::min<size_t>(BLOCK_SIZE, dsize.width - j);
// compute table
for (size_t y = 0; y < blockHeight; ++y)
{
s32 * map_row = getRowPtr(&map[0], blockWidth * sizeof(s32), y);
size_t x = 0, y_ = y + i;
f32 indeces[4] = { j + 0.0f, j + 1.0f, j + 2.0f, j + 3.0f };
float32x4_t v_x = vld1q_f32(indeces), v_y = vdupq_n_f32(y_);
float32x4_t v_yx = vmlaq_f32(v_m6, v_m3, v_y), v_yy = vmlaq_f32(v_m7, v_m4, v_y),
v_yw = vmlaq_f32(v_m8, v_m5, v_y);
for ( ; x + 4 <= blockWidth; x += 4)
{
float32x4_t v_src_xf = vmlaq_f32(v_yx, v_m0, v_x);
float32x4_t v_src_yf = vmlaq_f32(v_yy, v_m1, v_x);
float32x4_t v_wf = vrecpq_f32(vmlaq_f32(v_yw, v_m2, v_x));
v_src_xf = vmulq_f32(v_wf, v_src_xf);
v_src_yf = vmulq_f32(v_wf, v_src_yf);
int32x4_t v_src_x = vmaxq_s32(v_zero4, vminq_s32(v_width4, vcvtq_s32_f32(v_src_xf)));
int32x4_t v_src_y = vmaxq_s32(v_zero4, vminq_s32(v_height4, vcvtq_s32_f32(v_src_yf)));
int32x4_t v_src_index = vmlaq_s32(v_src_x, v_src_y, v_step4);
vst1q_s32(map_row + x, v_src_index);
v_x = vaddq_f32(v_x, v_4);
}
f32 yx = m[3] * y_ + m[6], yy = m[4] * y_ + m[7], yw = m[5] * y_ + m[8];
for (ptrdiff_t x_ = x + j; x < blockWidth; ++x, ++x_)
{
f32 w_f = 1.0f / (m[2] * x_ + yw);
f32 src_x_f = (m[0] * x_ + yx) * w_f;
f32 src_y_f = (m[1] * x_ + yy) * w_f;
s32 src_x = floorf(src_x_f), src_y = floorf(src_y_f);
src_x = std::max(0, std::min<s32>(ssize.width - 1, src_x));
src_y = std::max(0, std::min<s32>(ssize.height - 1, src_y));
map_row[x] = src_y * srcStride + src_x;
}
}
// make remap
remapNearestNeighborReplicate(Size2D(blockWidth, blockHeight), srcBase, &map[0],
getRowPtr(dstBase, dstStride, i) + j, dstStride);
}
}
}
else if (borderMode == BORDER_MODE_CONSTANT)
{
int32x4_t v_m1_4 = vdupq_n_s32(-1);
float32x4_t v_zero4 = vdupq_n_f32(0.0f);
for (size_t i = 0; i < dsize.height; i += BLOCK_SIZE)
{
size_t blockHeight = std::min<size_t>(BLOCK_SIZE, dsize.height - i);
for (size_t j = 0; j < dsize.width; j += BLOCK_SIZE)
{
size_t blockWidth = std::min<size_t>(BLOCK_SIZE, dsize.width - j);
// compute table
for (size_t y = 0; y < blockHeight; ++y)
{
s32 * map_row = getRowPtr(&map[0], blockWidth * sizeof(s32), y);
size_t x = 0, y_ = y + i;
f32 indeces[4] = { j + 0.0f, j + 1.0f, j + 2.0f, j + 3.0f };
float32x4_t v_x = vld1q_f32(indeces), v_y = vdupq_n_f32(y_);
float32x4_t v_yx = vmlaq_f32(v_m6, v_m3, v_y), v_yy = vmlaq_f32(v_m7, v_m4, v_y),
v_yw = vmlaq_f32(v_m8, v_m5, v_y);
for ( ; x + 4 <= blockWidth; x += 4)
{
float32x4_t v_src_xf = vmlaq_f32(v_yx, v_m0, v_x);
float32x4_t v_src_yf = vmlaq_f32(v_yy, v_m1, v_x);
float32x4_t v_wf = vrecpq_f32(vmlaq_f32(v_yw, v_m2, v_x));
v_src_xf = vmulq_f32(v_wf, v_src_xf);
v_src_yf = vmulq_f32(v_wf, v_src_yf);
int32x4_t v_src_x = vcvtq_s32_f32(v_src_xf);
int32x4_t v_src_y = vcvtq_s32_f32(v_src_yf);
uint32x4_t v_mask = vandq_u32(vandq_u32(vcgeq_f32(v_src_xf, v_zero4), vcleq_s32(v_src_x, v_width4)),
vandq_u32(vcgeq_f32(v_src_yf, v_zero4), vcleq_s32(v_src_y, v_height4)));
int32x4_t v_src_index = vbslq_s32(v_mask, vmlaq_s32(v_src_x, v_src_y, v_step4), v_m1_4);
vst1q_s32(map_row + x, v_src_index);
v_x = vaddq_f32(v_x, v_4);
}
f32 yx = m[3] * y_ + m[6], yy = m[4] * y_ + m[7], yw = m[5] * y_ + m[8];
for (ptrdiff_t x_ = x + j; x < blockWidth; ++x, ++x_)
{
f32 w_f = 1.0f / (m[2] * x_ + yw);
f32 src_x_f = (m[0] * x_ + yx) * w_f;
f32 src_y_f = (m[1] * x_ + yy) * w_f;
s32 src_x = floorf(src_x_f), src_y = floorf(src_y_f);
map_row[x] = (src_x >= 0) && (src_x < (s32)ssize.width) &&
(src_y >= 0) && (src_y < (s32)ssize.height) ? src_y * srcStride + src_x : -1;
}
}
// make remap
remapNearestNeighborConst(Size2D(blockWidth, blockHeight), srcBase, &map[0],
getRowPtr(dstBase, dstStride, i) + j, dstStride, borderValue);
}
}
}
#else
(void)ssize;
(void)dsize;
(void)srcBase;
(void)srcStride;
(void)m;
(void)dstBase;
(void)dstStride;
(void)borderMode;
(void)borderValue;
#endif
}
void warpPerspectiveLinear(const Size2D &ssize, const Size2D &dsize,
const u8 * srcBase, ptrdiff_t srcStride,
const f32 * m,
u8 * dstBase, ptrdiff_t dstStride,
BORDER_MODE borderMode, u8 borderValue)
{
internal::assertSupportedConfiguration(isWarpPerspectiveLinearSupported(ssize));
#ifdef CAROTENE_NEON
using namespace internal;
s32 _map[((BLOCK_SIZE * BLOCK_SIZE) << 2) + 16];
f32 _coeffs[((BLOCK_SIZE * BLOCK_SIZE) << 1) + 16];
s32 * map = alignPtr(_map, 16);
f32 * coeffs = alignPtr(_coeffs, 16);
int32x4_t v_width4 = vdupq_n_s32(ssize.width - 1), v_height4 = vdupq_n_s32(ssize.height - 1);
int32x4_t v_step4 = vdupq_n_s32(srcStride), v_1 = vdupq_n_s32(1);
float32x4_t v_zero4f = vdupq_n_f32(0.0f), v_one4f = vdupq_n_f32(1.0f);
float32x4_t v_4 = vdupq_n_f32(4.0f);
float32x4_t v_m0 = vdupq_n_f32(m[0]);
float32x4_t v_m1 = vdupq_n_f32(m[1]);
float32x4_t v_m2 = vdupq_n_f32(m[2]);
float32x4_t v_m3 = vdupq_n_f32(m[3]);
float32x4_t v_m4 = vdupq_n_f32(m[4]);
float32x4_t v_m5 = vdupq_n_f32(m[5]);
float32x4_t v_m6 = vdupq_n_f32(m[6]);
float32x4_t v_m7 = vdupq_n_f32(m[7]);
float32x4_t v_m8 = vdupq_n_f32(m[8]);
if (borderMode == BORDER_MODE_REPLICATE)
{
int32x4_t v_zero4 = vdupq_n_s32(0);
for (size_t i = 0; i < dsize.height; i += BLOCK_SIZE)
{
size_t blockHeight = std::min<size_t>(BLOCK_SIZE, dsize.height - i);
for (size_t j = 0; j < dsize.width; j += BLOCK_SIZE)
{
size_t blockWidth = std::min<size_t>(BLOCK_SIZE, dsize.width - j);
// compute table
for (size_t y = 0; y < blockHeight; ++y)
{
s32 * map_row = getRowPtr(map, blockWidth * sizeof(s32) * 4, y);
f32 * coeff_row = getRowPtr(coeffs, blockWidth * sizeof(f32) * 2, y);
size_t x = 0, y_ = y + i;
f32 indeces[4] = { j + 0.0f, j + 1.0f, j + 2.0f, j + 3.0f };
float32x4_t v_x = vld1q_f32(indeces), v_y = vdupq_n_f32(y_);
float32x4_t v_yx = vmlaq_f32(v_m6, v_m3, v_y), v_yy = vmlaq_f32(v_m7, v_m4, v_y),
v_yw = vmlaq_f32(v_m8, v_m5, v_y);
for ( ; x + 4 <= blockWidth; x += 4)
{
float32x4_t v_src_xf = vmlaq_f32(v_yx, v_m0, v_x);
float32x4_t v_src_yf = vmlaq_f32(v_yy, v_m1, v_x);
float32x4_t v_wf = vrecpq_f32(vmlaq_f32(v_yw, v_m2, v_x));
v_src_xf = vmulq_f32(v_wf, v_src_xf);
v_src_yf = vmulq_f32(v_wf, v_src_yf);
int32x4_t v_src_x = vcvtq_s32_f32(v_src_xf);
int32x4_t v_src_y = vcvtq_s32_f32(v_src_yf);
float32x4x2_t v_coeff;
v_coeff.val[0] = vsubq_f32(v_src_xf, vcvtq_f32_s32(v_src_x));
v_coeff.val[1] = vsubq_f32(v_src_yf, vcvtq_f32_s32(v_src_y));
uint32x4_t v_maskx = vcltq_f32(v_coeff.val[0], v_zero4f);
uint32x4_t v_masky = vcltq_f32(v_coeff.val[1], v_zero4f);
v_coeff.val[0] = vbslq_f32(v_maskx, vaddq_f32(v_one4f, v_coeff.val[0]), v_coeff.val[0]);
v_coeff.val[1] = vbslq_f32(v_masky, vaddq_f32(v_one4f, v_coeff.val[1]), v_coeff.val[1]);
v_src_x = vbslq_s32(v_maskx, vsubq_s32(v_src_x, v_1), v_src_x);
v_src_y = vbslq_s32(v_masky, vsubq_s32(v_src_y, v_1), v_src_y);
int32x4_t v_dst0_x = vmaxq_s32(v_zero4, vminq_s32(v_width4, v_src_x));
int32x4_t v_dst0_y = vmaxq_s32(v_zero4, vminq_s32(v_height4, v_src_y));
int32x4_t v_dst1_x = vmaxq_s32(v_zero4, vminq_s32(v_width4, vaddq_s32(v_1, v_src_x)));
int32x4_t v_dst1_y = vmaxq_s32(v_zero4, vminq_s32(v_height4, vaddq_s32(v_1, v_src_y)));
int32x4x4_t v_dst_index;
v_dst_index.val[0] = vmlaq_s32(v_dst0_x, v_dst0_y, v_step4);
v_dst_index.val[1] = vmlaq_s32(v_dst1_x, v_dst0_y, v_step4);
v_dst_index.val[2] = vmlaq_s32(v_dst0_x, v_dst1_y, v_step4);
v_dst_index.val[3] = vmlaq_s32(v_dst1_x, v_dst1_y, v_step4);
vst2q_f32(coeff_row + (x << 1), v_coeff);
vst4q_s32(map_row + (x << 2), v_dst_index);
v_x = vaddq_f32(v_x, v_4);
}
f32 yx = m[3] * y_ + m[6], yy = m[4] * y_ + m[7], yw = m[5] * y_ + m[8];
for (ptrdiff_t x_ = x + j; x < blockWidth; ++x, ++x_)
{
f32 w_f = 1.0f / (m[2] * x_ + yw);
f32 src_x_f = (m[0] * x_ + yx) * w_f;
f32 src_y_f = (m[1] * x_ + yy) * w_f;
s32 src0_x = (s32)floorf(src_x_f);
s32 src0_y = (s32)floorf(src_y_f);
coeff_row[(x << 1) + 0] = src_x_f - src0_x;
coeff_row[(x << 1) + 1] = src_y_f - src0_y;
s32 src1_y = std::max(0, std::min<s32>(ssize.height - 1, src0_y + 1));
src0_y = std::max(0, std::min<s32>(ssize.height - 1, src0_y));
s32 src1_x = std::max(0, std::min<s32>(ssize.width - 1, src0_x + 1));
src0_x = std::max(0, std::min<s32>(ssize.width - 1, src0_x));
map_row[(x << 2) + 0] = src0_y * srcStride + src0_x;
map_row[(x << 2) + 1] = src0_y * srcStride + src1_x;
map_row[(x << 2) + 2] = src1_y * srcStride + src0_x;
map_row[(x << 2) + 3] = src1_y * srcStride + src1_x;
}
}
remapLinearReplicate(Size2D(blockWidth, blockHeight),
srcBase, &map[0], &coeffs[0],
getRowPtr(dstBase, dstStride, i) + j, dstStride);
}
}
}
else if (borderMode == BORDER_MODE_CONSTANT)
{
float32x4_t v_zero4 = vdupq_n_f32(0.0f);
int32x4_t v_m1_4 = vdupq_n_s32(-1);
for (size_t i = 0; i < dsize.height; i += BLOCK_SIZE)
{
size_t blockHeight = std::min<size_t>(BLOCK_SIZE, dsize.height - i);
for (size_t j = 0; j < dsize.width; j += BLOCK_SIZE)
{
size_t blockWidth = std::min<size_t>(BLOCK_SIZE, dsize.width - j);
// compute table
for (size_t y = 0; y < blockHeight; ++y)
{
s32 * map_row = getRowPtr(map, blockWidth * sizeof(s32) * 4, y);
f32 * coeff_row = getRowPtr(coeffs, blockWidth * sizeof(f32) * 2, y);
size_t x = 0, y_ = y + i;
f32 indeces[4] = { j + 0.0f, j + 1.0f, j + 2.0f, j + 3.0f };
float32x4_t v_x = vld1q_f32(indeces), v_y = vdupq_n_f32(y_);
float32x4_t v_yx = vmlaq_f32(v_m6, v_m3, v_y), v_yy = vmlaq_f32(v_m7, v_m4, v_y),
v_yw = vmlaq_f32(v_m8, v_m5, v_y);
for ( ; x + 4 <= blockWidth; x += 4)
{
float32x4_t v_src_xf = vmlaq_f32(v_yx, v_m0, v_x);
float32x4_t v_src_yf = vmlaq_f32(v_yy, v_m1, v_x);
float32x4_t v_wf = vrecpq_f32(vmlaq_f32(v_yw, v_m2, v_x));
v_src_xf = vmulq_f32(v_wf, v_src_xf);
v_src_yf = vmulq_f32(v_wf, v_src_yf);
int32x4_t v_src_x0 = vcvtq_s32_f32(v_src_xf);
int32x4_t v_src_y0 = vcvtq_s32_f32(v_src_yf);
float32x4x2_t v_coeff;
v_coeff.val[0] = vsubq_f32(v_src_xf, vcvtq_f32_s32(v_src_x0));
v_coeff.val[1] = vsubq_f32(v_src_yf, vcvtq_f32_s32(v_src_y0));
uint32x4_t v_maskx = vcltq_f32(v_coeff.val[0], v_zero4f);
uint32x4_t v_masky = vcltq_f32(v_coeff.val[1], v_zero4f);
v_coeff.val[0] = vbslq_f32(v_maskx, vaddq_f32(v_one4f, v_coeff.val[0]), v_coeff.val[0]);
v_coeff.val[1] = vbslq_f32(v_masky, vaddq_f32(v_one4f, v_coeff.val[1]), v_coeff.val[1]);
v_src_x0 = vbslq_s32(v_maskx, vsubq_s32(v_src_x0, v_1), v_src_x0);
v_src_y0 = vbslq_s32(v_masky, vsubq_s32(v_src_y0, v_1), v_src_y0);
int32x4_t v_src_x1 = vaddq_s32(v_src_x0, v_1);
int32x4_t v_src_y1 = vaddq_s32(v_src_y0, v_1);
int32x4x4_t v_dst_index;
v_dst_index.val[0] = vmlaq_s32(v_src_x0, v_src_y0, v_step4);
v_dst_index.val[1] = vmlaq_s32(v_src_x1, v_src_y0, v_step4);
v_dst_index.val[2] = vmlaq_s32(v_src_x0, v_src_y1, v_step4);
v_dst_index.val[3] = vmlaq_s32(v_src_x1, v_src_y1, v_step4);
uint32x4_t v_mask_x0 = vandq_u32(vcgeq_f32(v_src_xf, v_zero4), vcleq_s32(v_src_x0, v_width4));
uint32x4_t v_mask_x1 = vandq_u32(vcgeq_f32(vaddq_f32(v_src_xf, v_one4f), v_zero4), vcleq_s32(v_src_x1, v_width4));
uint32x4_t v_mask_y0 = vandq_u32(vcgeq_f32(v_src_yf, v_zero4), vcleq_s32(v_src_y0, v_height4));
uint32x4_t v_mask_y1 = vandq_u32(vcgeq_f32(vaddq_f32(v_src_yf, v_one4f), v_zero4), vcleq_s32(v_src_y1, v_height4));
v_dst_index.val[0] = vbslq_s32(vandq_u32(v_mask_x0, v_mask_y0), v_dst_index.val[0], v_m1_4);
v_dst_index.val[1] = vbslq_s32(vandq_u32(v_mask_x1, v_mask_y0), v_dst_index.val[1], v_m1_4);
v_dst_index.val[2] = vbslq_s32(vandq_u32(v_mask_x0, v_mask_y1), v_dst_index.val[2], v_m1_4);
v_dst_index.val[3] = vbslq_s32(vandq_u32(v_mask_x1, v_mask_y1), v_dst_index.val[3], v_m1_4);
vst2q_f32(coeff_row + (x << 1), v_coeff);
vst4q_s32(map_row + (x << 2), v_dst_index);
v_x = vaddq_f32(v_x, v_4);
}
f32 yx = m[3] * y_ + m[6], yy = m[4] * y_ + m[7], yw = m[5] * y_ + m[8];
for (ptrdiff_t x_ = x + j; x < blockWidth; ++x, ++x_)
{
f32 w_f = 1.0f / (m[2] * x_ + yw);
f32 src_x_f = (m[0] * x_ + yx) * w_f;
f32 src_y_f = (m[1] * x_ + yy) * w_f;
s32 src0_x = (s32)floorf(src_x_f), src1_x = src0_x + 1;
s32 src0_y = (s32)floorf(src_y_f), src1_y = src0_y + 1;
coeff_row[(x << 1) + 0] = src_x_f - src0_x;
coeff_row[(x << 1) + 1] = src_y_f - src0_y;
map_row[(x << 2) + 0] = (src0_x >= 0) && (src0_x < (s32)ssize.width) &&
(src0_y >= 0) && (src0_y < (s32)ssize.height) ? src0_y * srcStride + src0_x : -1;
map_row[(x << 2) + 1] = (src1_x >= 0) && (src1_x < (s32)ssize.width) &&
(src0_y >= 0) && (src0_y < (s32)ssize.height) ? src0_y * srcStride + src1_x : -1;
map_row[(x << 2) + 2] = (src0_x >= 0) && (src0_x < (s32)ssize.width) &&
(src1_y >= 0) && (src1_y < (s32)ssize.height) ? src1_y * srcStride + src0_x : -1;
map_row[(x << 2) + 3] = (src1_x >= 0) && (src1_x < (s32)ssize.width) &&
(src1_y >= 0) && (src1_y < (s32)ssize.height) ? src1_y * srcStride + src1_x : -1;
}
}
remapLinearConst(Size2D(blockWidth, blockHeight),
srcBase, &map[0], &coeffs[0],
getRowPtr(dstBase, dstStride, i) + j, dstStride, borderValue);
}
}
}
#else
(void)ssize;
(void)dsize;
(void)srcBase;
(void)srcStride;
(void)m;
(void)dstBase;
(void)dstStride;
(void)borderMode;
(void)borderValue;
#endif
}
} // namespace CAROTENE_NS
+32
View File
@@ -0,0 +1,32 @@
if(HAVE_FASTCV)
set(FASTCV_HAL_VERSION 0.0.1 CACHE INTERNAL "")
set(FASTCV_HAL_LIBRARIES "fastcv_hal" CACHE INTERNAL "")
set(FASTCV_HAL_INCLUDE_DIRS "${CMAKE_CURRENT_SOURCE_DIR}/include" CACHE INTERNAL "")
set(FASTCV_HAL_HEADERS
"${CMAKE_CURRENT_SOURCE_DIR}/include/fastcv_hal_core.hpp"
"${CMAKE_CURRENT_SOURCE_DIR}/include/fastcv_hal_imgproc.hpp"
CACHE INTERNAL "")
file(GLOB FASTCV_HAL_FILES "${CMAKE_CURRENT_SOURCE_DIR}/src/*.cpp")
add_library(fastcv_hal STATIC ${OPENCV_3RDPARTY_EXCLUDE_FROM_ALL} ${FASTCV_HAL_FILES})
target_include_directories(fastcv_hal PRIVATE
${CMAKE_SOURCE_DIR}/modules/core/include
${CMAKE_SOURCE_DIR}/modules/imgproc/include
${FASTCV_HAL_INCLUDE_DIRS} ${FastCV_INCLUDE_PATH})
target_link_libraries(fastcv_hal PUBLIC ${FASTCV_LIBRARY})
set_target_properties(fastcv_hal PROPERTIES ARCHIVE_OUTPUT_DIRECTORY ${3P_LIBRARY_OUTPUT_PATH})
if(NOT BUILD_SHARED_LIBS)
ocv_install_target(fastcv_hal EXPORT OpenCVModules ARCHIVE DESTINATION ${OPENCV_3P_LIB_INSTALL_PATH} COMPONENT dev)
endif()
if(ENABLE_SOLUTION_FOLDERS)
set_target_properties(fastcv_hal PROPERTIES FOLDER "3rdparty")
endif()
else()
message(STATUS "FastCV is not available, disabling related HAL")
endif(HAVE_FASTCV)
+270
View File
@@ -0,0 +1,270 @@
/*
* Copyright (c) 2024-2025 Qualcomm Innovation Center, Inc. All rights reserved.
* SPDX-License-Identifier: Apache-2.0
*/
#ifndef OPENCV_FASTCV_HAL_CORE_HPP_INCLUDED
#define OPENCV_FASTCV_HAL_CORE_HPP_INCLUDED
#include <opencv2/core/base.hpp>
#undef cv_hal_lut
#define cv_hal_lut fastcv_hal_lut
#undef cv_hal_normHammingDiff8u
#define cv_hal_normHammingDiff8u fastcv_hal_normHammingDiff8u
#undef cv_hal_mul8u16u
#define cv_hal_mul8u16u fastcv_hal_mul8u16u
#undef cv_hal_sub8u32f
#define cv_hal_sub8u32f fastcv_hal_sub8u32f
#undef cv_hal_transpose2d
#define cv_hal_transpose2d fastcv_hal_transpose2d
#undef cv_hal_meanStdDev
#define cv_hal_meanStdDev fastcv_hal_meanStdDev
#undef cv_hal_flip
#define cv_hal_flip fastcv_hal_flip
#undef cv_hal_rotate90
#define cv_hal_rotate90 fastcv_hal_rotate
#undef cv_hal_addWeighted8u
#define cv_hal_addWeighted8u fastcv_hal_addWeighted8u
#undef cv_hal_mul8u
#define cv_hal_mul8u fastcv_hal_mul8u
#undef cv_hal_mul16s
#define cv_hal_mul16s fastcv_hal_mul16s
#undef cv_hal_mul32f
#define cv_hal_mul32f fastcv_hal_mul32f
#undef cv_hal_SVD32f
#define cv_hal_SVD32f fastcv_hal_SVD32f
#undef cv_hal_gemm32f
#define cv_hal_gemm32f fastcv_hal_gemm32f
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
/// @brief look-up table transform of an array.
/// @param src_data Source image data
/// @param src_step Source image step
/// @param src_type Source image type
/// @param lut_data Pointer to lookup table
/// @param lut_channel_size Size of each channel in bytes
/// @param lut_channels Number of channels in lookup table
/// @param dst_data Destination data
/// @param dst_step Destination step
/// @param width Width of images
/// @param height Height of images
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
int fastcv_hal_lut(
const uchar* src_data,
size_t src_step,
size_t src_type,
const uchar* lut_data,
size_t lut_channel_size,
size_t lut_channels,
uchar* dst_data,
size_t dst_step,
int width,
int height);
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
/// @brief Hamming distance between two vectors
/// @param a pointer to first vector data
/// @param b pointer to second vector data
/// @param n length of vectors
/// @param cellSize how many bits of the vectors will be added and treated as a single bit, can be 1 (standard Hamming distance), 2 or 4
/// @param result pointer to result output
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
int fastcv_hal_normHammingDiff8u(const uchar* a, const uchar* b, int n, int cellSize, int* result);
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
int fastcv_hal_mul8u16u(
const uchar * src1_data,
size_t src1_step,
const uchar * src2_data,
size_t src2_step,
ushort * dst_data,
size_t dst_step,
int width,
int height,
double scale);
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
int fastcv_hal_sub8u32f(
const uchar *src1_data,
size_t src1_step,
const uchar *src2_data,
size_t src2_step,
float *dst_data,
size_t dst_step,
int width,
int height);
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
int fastcv_hal_transpose2d(
const uchar* src_data,
size_t src_step,
uchar* dst_data,
size_t dst_step,
int src_width,
int src_height,
int element_size);
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
int fastcv_hal_meanStdDev(
const uchar * src_data,
size_t src_step,
int width,
int height,
int src_type,
double * mean_val,
double * stddev_val,
uchar * mask,
size_t mask_step);
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
/// @brief Flips a 2D array around vertical, horizontal, or both axes
/// @param src_type source and destination image type
/// @param src_data source image data
/// @param src_step source image step
/// @param src_width source and destination image width
/// @param src_height source and destination image height
/// @param dst_data destination image data
/// @param dst_step destination image step
/// @param flip_mode 0 flips around x-axis, 1 around y-axis, -1 both
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
int fastcv_hal_flip(
int src_type,
const uchar* src_data,
size_t src_step,
int src_width,
int src_height,
uchar* dst_data,
size_t dst_step,
int flip_mode);
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
/// @brief Rotates a 2D array in multiples of 90 degrees.
/// @param src_type source and destination image type
/// @param src_data source image data
/// @param src_step source image step
/// @param src_width source image width
/// @If angle has value [180] it is also destination image width
/// If angle has values [90, 270] it is also destination image height
/// @param src_height source and destination image height (destination image width for angles [90, 270])
/// If angle has value [180] it is also destination image height
/// If angle has values [90, 270] it is also destination image width
/// @param dst_data destination image data
/// @param dst_step destination image step
/// @param angle clockwise angle for rotation in degrees from set [90, 180, 270]
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
int fastcv_hal_rotate(
int src_type,
const uchar* src_data,
size_t src_step,
int src_width,
int src_height,
uchar* dst_data,
size_t dst_step,
int angle);
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
/// @brief weighted sum of two arrays using formula: dst[i] = a * src1[i] + b * src2[i]
/// @param src1_data first source image data
/// @param src1_step first source image step
/// @param src2_data second source image data
/// @param src2_step second source image step
/// @param dst_data destination image data
/// @param dst_step destination image step
/// @param width width of the images
/// @param height height of the images
/// @param scalars numbers a, b, and c
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
int fastcv_hal_addWeighted8u(
const uchar* src1_data,
size_t src1_step,
const uchar* src2_data,
size_t src2_step,
uchar* dst_data,
size_t dst_step,
int width,
int height,
const double scalars[3]);
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
int fastcv_hal_mul8u(
const uchar *src1_data,
size_t src1_step,
const uchar *src2_data,
size_t src2_step,
uchar *dst_data,
size_t dst_step,
int width,
int height,
double scale);
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
int fastcv_hal_mul16s(
const short *src1_data,
size_t src1_step,
const short *src2_data,
size_t src2_step,
short *dst_data,
size_t dst_step,
int width,
int height,
double scale);
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
int fastcv_hal_mul32f(
const float *src1_data,
size_t src1_step,
const float *src2_data,
size_t src2_step,
float *dst_data,
size_t dst_step,
int width,
int height,
double scale);
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
/// Performs singular value decomposition of \f$M\times N\f$(\f$M>N\f$) matrix \f$A = U*\Sigma*V^T\f$.
///
/// @param src Pointer to input MxN matrix A stored in column major order.
/// After finish of work src will be filled with rows of U or not modified (depends of flag CV_HAL_SVD_MODIFY_A).
/// @param src_step Number of bytes between two consequent columns of matrix A.
/// @param w Pointer to array for singular values of matrix A (i. e. first N diagonal elements of matrix \f$\Sigma\f$).
/// @param u Pointer to output MxN or MxM matrix U (size depends of flags).
/// Pointer must be valid if flag CV_HAL_SVD_MODIFY_A not used.
/// @param u_step Number of bytes between two consequent rows of matrix U.
/// @param vt Pointer to array for NxN matrix V^T.
/// @param vt_step Number of bytes between two consequent rows of matrix V^T.
/// @param m Number fo rows in matrix A.
/// @param n Number of columns in matrix A.
/// @param flags Algorithm options (combination of CV_HAL_SVD_FULL_UV, ...).
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
int fastcv_hal_SVD32f(
float* src,
size_t src_step,
float* w,
float* u,
size_t u_step,
float* vt,
size_t vt_step,
int m,
int n,
int flags);
int fastcv_hal_gemm32f(
const float* src1,
size_t src1_step,
const float* src2,
size_t src2_step,
float alpha,
const float* src3,
size_t src3_step,
float beta,
float* dst,
size_t dst_step,
int m,
int n,
int k,
int flags);
#endif
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/*
* Copyright (c) 2024 Qualcomm Innovation Center, Inc. All rights reserved.
* SPDX-License-Identifier: Apache-2.0
*/
#ifndef OPENCV_FASTCV_HAL_IMGPROC_HPP_INCLUDED
#define OPENCV_FASTCV_HAL_IMGPROC_HPP_INCLUDED
#include <opencv2/core/base.hpp>
#undef cv_hal_medianBlur
#define cv_hal_medianBlur fastcv_hal_medianBlur
#undef cv_hal_sobel
#define cv_hal_sobel fastcv_hal_sobel
#undef cv_hal_boxFilter
#define cv_hal_boxFilter fastcv_hal_boxFilter
#undef cv_hal_adaptiveThreshold
#define cv_hal_adaptiveThreshold fastcv_hal_adaptiveThreshold
#undef cv_hal_gaussianBlurBinomial
#define cv_hal_gaussianBlurBinomial fastcv_hal_gaussianBlurBinomial
#undef cv_hal_warpPerspective
#define cv_hal_warpPerspective fastcv_hal_warpPerspective
#undef cv_hal_pyrdown
#define cv_hal_pyrdown fastcv_hal_pyrdown
#undef cv_hal_cvtBGRtoHSV
#define cv_hal_cvtBGRtoHSV fastcv_hal_cvtBGRtoHSV
#undef cv_hal_cvtBGRtoYUVApprox
#define cv_hal_cvtBGRtoYUVApprox fastcv_hal_cvtBGRtoYUVApprox
#undef cv_hal_canny
#define cv_hal_canny fastcv_hal_canny
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
/// @brief Calculate medianBlur filter
/// @param src_data Source image data
/// @param src_step Source image step
/// @param dst_data Destination image data
/// @param dst_step Destination image step
/// @param width Source image width
/// @param height Source image height
/// @param depth Depths of source and destination image
/// @param cn Number of channels
/// @param ksize Size of kernel
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
int fastcv_hal_medianBlur(
const uchar* src_data,
size_t src_step,
uchar* dst_data,
size_t dst_step,
int width,
int height,
int depth,
int cn,
int ksize);
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
/// @brief Computes Sobel derivatives
///
/// @param src_data Source image data
/// @param src_step Source image step
/// @param dst_data Destination image data
/// @param dst_step Destination image step
/// @param width Source image width
/// @param height Source image height
/// @param src_depth Depth of source image
/// @param dst_depth Depths of destination image
/// @param cn Number of channels
/// @param margin_left Left margins for source image
/// @param margin_top Top margins for source image
/// @param margin_right Right margins for source image
/// @param margin_bottom Bottom margins for source image
/// @param dx orders of the derivative x
/// @param dy orders of the derivative y
/// @param ksize Size of kernel
/// @param scale Scale factor for the computed derivative values
/// @param delta Delta value that is added to the results prior to storing them in dst
/// @param border_type Border type
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
int fastcv_hal_sobel(
const uchar* src_data,
size_t src_step,
uchar* dst_data,
size_t dst_step,
int width,
int height,
int src_depth,
int dst_depth,
int cn,
int margin_left,
int margin_top,
int margin_right,
int margin_bottom,
int dx,
int dy,
int ksize,
double scale,
double delta,
int border_type);
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
int fastcv_hal_boxFilter(
const uchar* src_data,
size_t src_step,
uchar* dst_data,
size_t dst_step,
int width,
int height,
int src_depth,
int dst_depth,
int cn,
int margin_left,
int margin_top,
int margin_right,
int margin_bottom,
size_t ksize_width,
size_t ksize_height,
int anchor_x,
int anchor_y,
bool normalize,
int border_type);
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
int fastcv_hal_adaptiveThreshold(
const uchar* src_data,
size_t src_step,
uchar* dst_data,
size_t dst_step,
int width,
int height,
double maxValue,
int adaptiveMethod,
int thresholdType,
int blockSize,
double C);
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
/// @brief Blurs an image using a Gaussian filter.
/// @param src_data Source image data
/// @param src_step Source image step
/// @param dst_data Destination image data
/// @param dst_step Destination image step
/// @param width Source image width
/// @param height Source image height
/// @param depth Depth of source and destination image
/// @param cn Number of channels
/// @param margin_left Left margins for source image
/// @param margin_top Top margins for source image
/// @param margin_right Right margins for source image
/// @param margin_bottom Bottom margins for source image
/// @param ksize Kernel size
/// @param border_type Border type
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
int fastcv_hal_gaussianBlurBinomial(
const uchar* src_data,
size_t src_step,
uchar* dst_data,
size_t dst_step,
int width,
int height,
int depth,
int cn,
size_t margin_left,
size_t margin_top,
size_t margin_right,
size_t margin_bottom,
size_t ksize,
int border_type);
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
/// @brief Applies a perspective transformation to an image.
///
/// @param src_type Source and destination image type
/// @param src_data Source image data
/// @param src_step Source image step
/// @param src_width Source image width
/// @param src_height Source image height
/// @param dst_data Destination image data
/// @param dst_step Destination image step
/// @param dst_width Destination image width
/// @param dst_height Destination image height
/// @param M 3x3 matrix with transform coefficients
/// @param interpolation Interpolation mode (CV_HAL_INTER_NEAREST, ...)
/// @param border_type Border processing mode (CV_HAL_BORDER_REFLECT, ...)
/// @param border_value Values to use for CV_HAL_BORDER_CONSTANT mode
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
int fastcv_hal_warpPerspective(
int src_type,
const uchar* src_data,
size_t src_step,
int src_width,
int src_height,
uchar* dst_data,
size_t dst_step,
int dst_width,
int dst_height,
const double M[9],
int interpolation,
int border_type,
const double border_value[4]);
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
int fastcv_hal_pyrdown(
const uchar* src_data,
size_t src_step,
int src_width,
int src_height,
uchar* dst_data,
size_t dst_step,
int dst_width,
int dst_height,
int depth,
int cn,
int border_type);
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
int fastcv_hal_cvtBGRtoHSV(
const uchar * src_data,
size_t src_step,
uchar * dst_data,
size_t dst_step,
int width,
int height,
int depth,
int scn,
bool swapBlue,
bool isFullRange,
bool isHSV);
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
int fastcv_hal_cvtBGRtoYUVApprox(
const uchar * src_data,
size_t src_step,
uchar * dst_data,
size_t dst_step,
int width,
int height,
int depth,
int scn,
bool swapBlue,
bool isCbCr);
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
/// @brief Canny edge detector
/// @param src_data Source image data
/// @param src_step Source image step
/// @param dst_data Destination image data
/// @param dst_step Destination image step
/// @param width Source image width
/// @param height Source image height
/// @param cn Number of channels
/// @param lowThreshold low thresholds value
/// @param highThreshold high thresholds value
/// @param ksize Kernel size for Sobel operator.
/// @param L2gradient Flag, indicating use of L2 or L1 norma.
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
int fastcv_hal_canny(
const uchar* src_data,
size_t src_step,
uchar* dst_data,
size_t dst_step,
int width,
int height,
int cn,
double lowThreshold,
double highThreshold,
int ksize,
bool L2gradient);
#endif
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/*
* Copyright (c) 2024 Qualcomm Innovation Center, Inc. All rights reserved.
* SPDX-License-Identifier: Apache-2.0
*/
#ifndef OPENCV_FASTCV_HAL_UTILS_HPP_INCLUDED
#define OPENCV_FASTCV_HAL_UTILS_HPP_INCLUDED
#include "fastcv.h"
#include <opencv2/core/utils/logger.hpp>
#define INITIALIZATION_CHECK \
{ \
if (!FastCvContext::getContext().isInitialized) \
{ \
return CV_HAL_ERROR_UNKNOWN; \
} \
}
#define CV_HAL_RETURN(status, func) \
{ \
if( status == FASTCV_SUCCESS ) \
{ \
CV_LOG_DEBUG(NULL, "FastCV HAL for "<<#func<<" run successfully!"); \
return CV_HAL_ERROR_OK; \
} \
else if(status == FASTCV_EBADPARAM || status == FASTCV_EUNALIGNPARAM || \
status == FASTCV_EUNSUPPORTED || status == FASTCV_EHWQDSP || \
status == FASTCV_EHWGPU) \
{ \
CV_LOG_DEBUG(NULL, "FastCV status:"<<getFastCVErrorString(status) \
<<", Switching to default OpenCV solution!"); \
return CV_HAL_ERROR_NOT_IMPLEMENTED; \
} \
else \
{ \
CV_LOG_ERROR(NULL,"FastCV error:"<<getFastCVErrorString(status)); \
return CV_HAL_ERROR_UNKNOWN; \
} \
}
#define CV_HAL_RETURN_NOT_IMPLEMENTED(reason) \
{ \
CV_LOG_DEBUG(NULL,"Switching to default OpenCV\nInfo: "<<reason); \
return CV_HAL_ERROR_NOT_IMPLEMENTED; \
}
#define FCV_KernelSize_SHIFT 3
#define FCV_MAKETYPE(ksize,depth) ((ksize<<FCV_KernelSize_SHIFT) + depth)
#define FCV_CMP_EQ(val1,val2) (fabs(val1 - val2) < FLT_EPSILON)
const char* getFastCVErrorString(int status);
const char* borderToString(int border);
const char* interpolationToString(int interpolation);
struct FastCvContext
{
public:
// initialize at first call
// Defines a static local variable context. Variable is created only once.
static FastCvContext& getContext()
{
static FastCvContext context;
return context;
}
FastCvContext()
{
if (fcvSetOperationMode(FASTCV_OP_CPU_PERFORMANCE) != 0)
{
CV_LOG_WARNING(NULL, "Failed to switch FastCV operation mode");
isInitialized = false;
}
else
{
CV_LOG_INFO(NULL, "FastCV Operation Mode Switched");
isInitialized = true;
}
}
bool isInitialized;
};
#endif
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/*
* Copyright (c) 2024-2025 Qualcomm Innovation Center, Inc. All rights reserved.
* SPDX-License-Identifier: Apache-2.0
*/
#include "fastcv_hal_core.hpp"
#include "fastcv_hal_utils.hpp"
#include <opencv2/core/core.hpp>
#include <opencv2/core/base.hpp>
class ParallelTableLookup : public cv::ParallelLoopBody
{
public:
ParallelTableLookup(const uchar* src_data_, int width_, size_t src_step_, const uchar* lut_data_, uchar* dst_data_, size_t dst_step_) :
cv::ParallelLoopBody(), src_data(src_data_), width(width_), src_step(src_step_), lut_data(lut_data_), dst_data(dst_data_), dst_step(dst_step_)
{
}
virtual void operator()(const cv::Range& range) const CV_OVERRIDE
{
fcvStatus status = FASTCV_SUCCESS;
for (int y = range.start; y < range.end; y++) {
status = fcvTableLookupu8((uint8_t*)src_data + y * src_step, width, 1, src_step, (uint8_t*)lut_data, (uint8_t*)dst_data + y * dst_step, dst_step);
if(status != FASTCV_SUCCESS)
CV_LOG_ERROR(NULL,"FastCV error:"<<getFastCVErrorString(status));
}
}
private:
const uchar* src_data;
int width;
size_t src_step;
const uchar* lut_data;
uchar* dst_data;
size_t dst_step;
};
int fastcv_hal_lut(
const uchar* src_data,
size_t src_step,
size_t src_type,
const uchar* lut_data,
size_t lut_channel_size,
size_t lut_channels,
uchar* dst_data,
size_t dst_step,
int width,
int height)
{
if((width*height)<=(320*240))
CV_HAL_RETURN_NOT_IMPLEMENTED("Switching to default OpenCV solution!");
INITIALIZATION_CHECK;
fcvStatus status;
if (src_type == CV_8UC1 && lut_channels == 1 && lut_channel_size == 1)
{
cv::parallel_for_(cv::Range(0, height),
ParallelTableLookup(src_data, width, src_step, lut_data, dst_data, dst_step));
status = FASTCV_SUCCESS;
CV_HAL_RETURN(status, hal_lut);
}
else
{
CV_HAL_RETURN_NOT_IMPLEMENTED("Multi-channel input is not supported");
}
}
int fastcv_hal_normHammingDiff8u(
const uchar* a,
const uchar* b,
int n,
int cellSize,
int* result)
{
fcvStatus status;
if (cellSize != 1)
CV_HAL_RETURN_NOT_IMPLEMENTED(cv::format("NORM_HAMMING2 cellSize:%d is not supported", cellSize));
INITIALIZATION_CHECK;
uint32_t dist = 0;
dist = fcvHammingDistanceu8((uint8_t*)a, (uint8_t*)b, n);
*result = dist;
status = FASTCV_SUCCESS;
CV_HAL_RETURN(status, hal_normHammingDiff8u);
}
int fastcv_hal_mul8u16u(
const uchar* src1_data,
size_t src1_step,
const uchar* src2_data,
size_t src2_step,
ushort* dst_data,
size_t dst_step,
int width,
int height,
double scale)
{
if(scale != 1.0)
CV_HAL_RETURN_NOT_IMPLEMENTED("Scale factor not supported");
INITIALIZATION_CHECK;
fcvStatus status = FASTCV_SUCCESS;
if (src1_step < (size_t)width && src2_step < (size_t)width)
{
src1_step = width*sizeof(uchar);
src2_step = width*sizeof(uchar);
dst_step = width*sizeof(ushort);
}
status = fcvElementMultiplyu8u16_v2(src1_data, width, height, src1_step,
src2_data, src2_step, dst_data, dst_step);
CV_HAL_RETURN(status,hal_multiply);
}
int fastcv_hal_sub8u32f(
const uchar* src1_data,
size_t src1_step,
const uchar* src2_data,
size_t src2_step,
float* dst_data,
size_t dst_step,
int width,
int height)
{
INITIALIZATION_CHECK;
fcvStatus status = FASTCV_SUCCESS;
if (src1_step < (size_t)width && src2_step < (size_t)width)
{
src1_step = width*sizeof(uchar);
src2_step = width*sizeof(uchar);
dst_step = width*sizeof(float);
}
status = fcvImageDiffu8f32_v2(src1_data, src2_data, width, height, src1_step,
src2_step, dst_data, dst_step);
CV_HAL_RETURN(status,hal_subtract);
}
int fastcv_hal_transpose2d(
const uchar* src_data,
size_t src_step,
uchar* dst_data,
size_t dst_step,
int src_width,
int src_height,
int element_size)
{
INITIALIZATION_CHECK;
if (src_data == dst_data)
CV_HAL_RETURN_NOT_IMPLEMENTED("In-place not supported");
fcvStatus status = FASTCV_SUCCESS;
switch (element_size)
{
case 1:
status = fcvTransposeu8_v2(src_data, src_width, src_height, src_step,
dst_data, dst_step);
break;
case 2:
status = fcvTransposeu16_v2((const uint16_t*)src_data, src_width, src_height,
src_step, (uint16_t*)dst_data, dst_step);
break;
case 4:
status = fcvTransposef32_v2((const float32_t*)src_data, src_width, src_height,
src_step, (float32_t*)dst_data, dst_step);
break;
default:
CV_HAL_RETURN_NOT_IMPLEMENTED("srcType not supported");
}
CV_HAL_RETURN(status,hal_transpose);
}
int fastcv_hal_meanStdDev(
const uchar* src_data,
size_t src_step,
int width,
int height,
int src_type,
double* mean_val,
double* stddev_val,
uchar* mask,
size_t mask_step)
{
INITIALIZATION_CHECK;
CV_UNUSED(mask_step);
if(src_type != CV_8UC1)
{
CV_HAL_RETURN_NOT_IMPLEMENTED("src type not supported");
}
else if(mask != nullptr)
{
CV_HAL_RETURN_NOT_IMPLEMENTED("mask not supported");
}
else if(mean_val == nullptr && stddev_val == nullptr)
{
CV_HAL_RETURN_NOT_IMPLEMENTED("null ptr for mean and stddev");
}
float32_t mean, variance;
fcvStatus status = fcvImageIntensityStats_v2(src_data, src_step, 0, 0, width, height,
&mean, &variance, FASTCV_BIASED_VARIANCE_ESTIMATOR);
if(mean_val != nullptr)
*mean_val = mean;
if(stddev_val != nullptr)
*stddev_val = std::sqrt(variance);
CV_HAL_RETURN(status,hal_meanStdDev);
}
int fastcv_hal_flip(
int src_type,
const uchar* src_data,
size_t src_step,
int src_width,
int src_height,
uchar* dst_data,
size_t dst_step,
int flip_mode)
{
INITIALIZATION_CHECK;
if(src_type!=CV_8UC1 && src_type!=CV_16UC1 && src_type!=CV_8UC3)
CV_HAL_RETURN_NOT_IMPLEMENTED("Data type is not supported, Switching to default OpenCV solution!");
if((src_width*src_height)<=(640*480))
CV_HAL_RETURN_NOT_IMPLEMENTED("Switching to default OpenCV solution!");
fcvStatus status = FASTCV_SUCCESS;;
fcvFlipDir dir;
switch (flip_mode)
{
//Flip around X-Axis: Vertical Flip or FLIP_ROWS
case 0:
CV_HAL_RETURN_NOT_IMPLEMENTED("Switching to default OpenCV solution due to low perf!");
dir = FASTCV_FLIP_VERT;
break;
//Flip around Y-Axis: Horizontal Flip or FLIP_COLS
case 1:
dir = FASTCV_FLIP_HORIZ;
break;
//Flip around both X and Y-Axis or FLIP_BOTH
case -1:
dir = FASTCV_FLIP_BOTH;
break;
default:
CV_HAL_RETURN_NOT_IMPLEMENTED("Invalid flip_mode, Switching to default OpenCV solution!");
}
if(src_type==CV_8UC1)
fcvFlipu8(src_data, src_width, src_height, src_step, dst_data, dst_step, dir);
else if(src_type==CV_16UC1)
fcvFlipu16((uint16_t*)src_data, src_width, src_height, src_step, (uint16_t*)dst_data, dst_step, dir);
else if(src_type==CV_8UC3)
status = fcvFlipRGB888u8((uint8_t*)src_data, src_width, src_height, src_step, (uint8_t*)dst_data, dst_step, dir);
else
CV_HAL_RETURN_NOT_IMPLEMENTED(cv::format("Data type:%d is not supported, Switching to default OpenCV solution!", src_type));
CV_HAL_RETURN(status, hal_flip);
}
int fastcv_hal_rotate(
int src_type,
const uchar* src_data,
size_t src_step,
int src_width,
int src_height,
uchar* dst_data,
size_t dst_step,
int angle)
{
if((src_width*src_height)<(120*80))
CV_HAL_RETURN_NOT_IMPLEMENTED("Switching to default OpenCV solution for lower resolution!");
fcvStatus status;
fcvRotateDegree degree;
if (src_type != CV_8UC1 && src_type != CV_8UC2)
CV_HAL_RETURN_NOT_IMPLEMENTED(cv::format("src_type:%d is not supported", src_type));
INITIALIZATION_CHECK;
switch (angle)
{
case 90:
degree = FASTCV_ROTATE_90;
break;
case 180:
degree = FASTCV_ROTATE_180;
break;
case 270:
degree = FASTCV_ROTATE_270;
break;
default:
CV_HAL_RETURN_NOT_IMPLEMENTED(cv::format("Rotation angle:%d is not supported", angle));
}
switch(src_type)
{
case CV_8UC1:
status = fcvRotateImageu8(src_data, src_width, src_height, src_step, dst_data, dst_step, degree);
break;
case CV_8UC2:
status = fcvRotateImageInterleavedu8((uint8_t*)src_data, src_width, src_height, src_step, (uint8_t*)dst_data,
dst_step, degree);
break;
default:
CV_HAL_RETURN_NOT_IMPLEMENTED(cv::format("src_type:%d is not supported", src_type));
}
CV_HAL_RETURN(status, hal_rotate);
}
int fastcv_hal_addWeighted8u(
const uchar* src1_data,
size_t src1_step,
const uchar* src2_data,
size_t src2_step,
uchar* dst_data,
size_t dst_step,
int width,
int height,
const double scalars[3])
{
if( (scalars[0] < -128.0f) || (scalars[0] >= 128.0f) ||
(scalars[1] < -128.0f) || (scalars[1] >= 128.0f) ||
(scalars[2] < -(1<<23))|| (scalars[2] >= 1<<23))
CV_HAL_RETURN_NOT_IMPLEMENTED(
cv::format("Alpha:%f,Beta:%f,Gamma:%f is not supported because it's too large or too small\n",
scalars[0],scalars[1],scalars[2]));
INITIALIZATION_CHECK;
fcvStatus status = FASTCV_SUCCESS;
if (height == 1)
{
src1_step = width*sizeof(uchar);
src2_step = width*sizeof(uchar);
dst_step = width*sizeof(uchar);
cv::parallel_for_(cv::Range(0, width), [&](const cv::Range &range){
int rangeWidth = range.end - range.start;
const uint8_t *src1 = src1_data + range.start;
const uint8_t *src2 = src2_data + range.start;
uint8_t *dst = dst_data + range.start;
fcvAddWeightedu8_v2(src1, rangeWidth, height, src1_step, src2, src2_step,
scalars[0], scalars[1], scalars[2], dst, dst_step);
});
}
else
{
cv::parallel_for_(cv::Range(0, height), [&](const cv::Range &range){
int rangeHeight = range.end - range.start;
const uint8_t *src1 = src1_data + range.start * src1_step;
const uint8_t *src2 = src2_data + range.start * src2_step;
uint8_t *dst = dst_data + range.start * dst_step;
fcvAddWeightedu8_v2(src1, width, rangeHeight, src1_step, src2, src2_step,
scalars[0], scalars[1], scalars[2], dst, dst_step);
});
}
CV_HAL_RETURN(status, hal_addWeighted8u_v2);
}
int fastcv_hal_mul8u(
const uchar *src1_data,
size_t src1_step,
const uchar *src2_data,
size_t src2_step,
uchar *dst_data,
size_t dst_step,
int width,
int height,
double scale)
{
int8_t sF;
if(FCV_CMP_EQ(scale,1.0)) { sF = 0; }
else if(scale > 1.0)
{
if(FCV_CMP_EQ(scale,2.0)) { sF = -1; }
else if(FCV_CMP_EQ(scale,4.0)) { sF = -2; }
else if(FCV_CMP_EQ(scale,8.0)) { sF = -3; }
else if(FCV_CMP_EQ(scale,16.0)) { sF = -4; }
else if(FCV_CMP_EQ(scale,32.0)) { sF = -5; }
else if(FCV_CMP_EQ(scale,64.0)) { sF = -6; }
else if(FCV_CMP_EQ(scale,128.0)) { sF = -7; }
else if(FCV_CMP_EQ(scale,256.0)) { sF = -8; }
else CV_HAL_RETURN_NOT_IMPLEMENTED("scale factor not supported");
}
else if(scale > 0 && scale < 1.0)
{
if(FCV_CMP_EQ(scale,1/2.0)) { sF = 1; }
else if(FCV_CMP_EQ(scale,1/4.0)) { sF = 2; }
else if(FCV_CMP_EQ(scale,1/8.0)) { sF = 3; }
else if(FCV_CMP_EQ(scale,1/16.0)) { sF = 4; }
else if(FCV_CMP_EQ(scale,1/32.0)) { sF = 5; }
else if(FCV_CMP_EQ(scale,1/64.0)) { sF = 6; }
else if(FCV_CMP_EQ(scale,1/128.0)) { sF = 7; }
else if(FCV_CMP_EQ(scale,1/256.0)) { sF = 8; }
else CV_HAL_RETURN_NOT_IMPLEMENTED("scale factor not supported");
}
else
CV_HAL_RETURN_NOT_IMPLEMENTED("scale factor not supported");
INITIALIZATION_CHECK;
int nStripes = cv::getNumThreads();
if(height == 1)
{
cv::parallel_for_(cv::Range(0, width), [&](const cv::Range &range){
int rangeWidth = range.end - range.start;
const uchar* yS1 = src1_data + static_cast<size_t>(range.start);
const uchar* yS2 = src2_data + static_cast<size_t>(range.start);
uchar* yD = dst_data + static_cast<size_t>(range.start);
fcvElementMultiplyu8(yS1, rangeWidth, 1, 0, yS2, 0, sF,
FASTCV_CONVERT_POLICY_SATURATE, yD, 0);
}, nStripes);
}
else
{
cv::parallel_for_(cv::Range(0, height), [&](const cv::Range &range){
int rangeHeight = range.end - range.start;
const uchar* yS1 = src1_data + static_cast<size_t>(range.start)*src1_step;
const uchar* yS2 = src2_data + static_cast<size_t>(range.start)*src2_step;
uchar* yD = dst_data + static_cast<size_t>(range.start)*dst_step;
fcvElementMultiplyu8(yS1, width, rangeHeight, src1_step, yS2, src2_step,
sF, FASTCV_CONVERT_POLICY_SATURATE, yD, dst_step);
}, nStripes);
}
fcvStatus status = FASTCV_SUCCESS;
CV_HAL_RETURN(status, hal_mul8u);
}
int fastcv_hal_mul16s(
const short *src1_data,
size_t src1_step,
const short *src2_data,
size_t src2_step,
short *dst_data,
size_t dst_step,
int width,
int height,
double scale)
{
int8_t sF;
if(FCV_CMP_EQ(scale,1.0)) { sF = 0; }
else if(scale > 1.0)
{
if(FCV_CMP_EQ(scale,2.0)) { sF = -1; }
else if(FCV_CMP_EQ(scale,4.0)) { sF = -2; }
else if(FCV_CMP_EQ(scale,8.0)) { sF = -3; }
else if(FCV_CMP_EQ(scale,16.0)) { sF = -4; }
else if(FCV_CMP_EQ(scale,32.0)) { sF = -5; }
else if(FCV_CMP_EQ(scale,64.0)) { sF = -6; }
else if(FCV_CMP_EQ(scale,128.0)) { sF = -7; }
else if(FCV_CMP_EQ(scale,256.0)) { sF = -8; }
else CV_HAL_RETURN_NOT_IMPLEMENTED("scale factor not supported");
}
else if(scale > 0 && scale < 1.0)
{
if(FCV_CMP_EQ(scale,1/2.0)) { sF = 1; }
else if(FCV_CMP_EQ(scale,1/4.0)) { sF = 2; }
else if(FCV_CMP_EQ(scale,1/8.0)) { sF = 3; }
else if(FCV_CMP_EQ(scale,1/16.0)) { sF = 4; }
else if(FCV_CMP_EQ(scale,1/32.0)) { sF = 5; }
else if(FCV_CMP_EQ(scale,1/64.0)) { sF = 6; }
else if(FCV_CMP_EQ(scale,1/128.0)) { sF = 7; }
else if(FCV_CMP_EQ(scale,1/256.0)) { sF = 8; }
else CV_HAL_RETURN_NOT_IMPLEMENTED("scale factor not supported");
}
else
CV_HAL_RETURN_NOT_IMPLEMENTED("scale factor not supported");
INITIALIZATION_CHECK;
int nStripes = cv::getNumThreads();
if(height == 1)
{
cv::parallel_for_(cv::Range(0, width), [&](const cv::Range &range){
int rangeWidth = range.end - range.start;
const short* yS1 = src1_data + static_cast<size_t>(range.start);
const short* yS2 = src2_data + static_cast<size_t>(range.start);
short* yD = dst_data + static_cast<size_t>(range.start);
fcvElementMultiplys16(yS1, rangeWidth, 1, 0, yS2, 0, sF,
FASTCV_CONVERT_POLICY_SATURATE, yD, 0);
}, nStripes);
}
else
{
cv::parallel_for_(cv::Range(0, height), [&](const cv::Range &range){
int rangeHeight = range.end - range.start;
const short* yS1 = src1_data + static_cast<size_t>(range.start) * (src1_step/sizeof(short));
const short* yS2 = src2_data + static_cast<size_t>(range.start) * (src2_step/sizeof(short));
short* yD = dst_data + static_cast<size_t>(range.start) * (dst_step/sizeof(short));
fcvElementMultiplys16(yS1, width, rangeHeight, src1_step, yS2, src2_step,
sF, FASTCV_CONVERT_POLICY_SATURATE, yD, dst_step);
}, nStripes);
}
fcvStatus status = FASTCV_SUCCESS;
CV_HAL_RETURN(status, hal_mul16s);
}
int fastcv_hal_mul32f(
const float *src1_data,
size_t src1_step,
const float *src2_data,
size_t src2_step,
float *dst_data,
size_t dst_step,
int width,
int height,
double scale)
{
if(!FCV_CMP_EQ(scale,1.0))
CV_HAL_RETURN_NOT_IMPLEMENTED("scale factor not supported");
INITIALIZATION_CHECK;
int nStripes = cv::getNumThreads();
if(height == 1)
{
cv::parallel_for_(cv::Range(0, width), [&](const cv::Range &range){
int rangeWidth = range.end - range.start;
const float* yS1 = src1_data + static_cast<size_t>(range.start);
const float* yS2 = src2_data + static_cast<size_t>(range.start);
float* yD = dst_data + static_cast<size_t>(range.start);
fcvElementMultiplyf32(yS1, rangeWidth, 1, 0, yS2, 0, yD, 0);
}, nStripes);
}
else
{
cv::parallel_for_(cv::Range(0, height), [&](const cv::Range &range){
int rangeHeight = range.end - range.start;
const float* yS1 = src1_data + static_cast<size_t>(range.start) * (src1_step/sizeof(float));
const float* yS2 = src2_data + static_cast<size_t>(range.start) * (src2_step/sizeof(float));
float* yD = dst_data + static_cast<size_t>(range.start) * (dst_step/sizeof(float));
fcvElementMultiplyf32(yS1, width, rangeHeight, src1_step,
yS2, src2_step, yD, dst_step);
}, nStripes);
}
fcvStatus status = FASTCV_SUCCESS;
CV_HAL_RETURN(status, hal_mul32f);
}
int fastcv_hal_SVD32f(
float* src,
size_t src_step,
float* w,
float* u,
size_t u_step,
float* vt,
size_t vt_step,
int m,
int n,
int flags)
{
if (n * sizeof(float) != src_step)
CV_HAL_RETURN_NOT_IMPLEMENTED("step is not supported");
INITIALIZATION_CHECK;
fcvStatus status = FASTCV_SUCCESS;
cv::Mat tmpU(m, n, CV_32F);
cv::Mat tmpV(n, n, CV_32F);
switch (flags)
{
case CV_HAL_SVD_NO_UV:
{
status = fcvSVDf32_v2(src, m, n, w, u, vt, (float32_t *)tmpU.data, (float32_t *)tmpV.data, false);
break;
}
case CV_HAL_SVD_SHORT_UV:
{
if ((n * sizeof(float) == u_step) && (n * sizeof(float) == vt_step))
status = fcvSVDf32_v2(src, m, n, w, u, vt, (float32_t *)tmpU.data, (float32_t *)tmpV.data, false);
else
CV_HAL_RETURN_NOT_IMPLEMENTED("step is not supported");
break;
}
case CV_HAL_SVD_FULL_UV:
{
if ((n * sizeof(float) == u_step) && (n * sizeof(float) == vt_step))
status = fcvSVDf32_v2(src, m, n, w, u, vt, (float32_t *)tmpU.data, (float32_t *)tmpV.data, true);
else
CV_HAL_RETURN_NOT_IMPLEMENTED("step is not supported");
break;
}
default:
CV_HAL_RETURN_NOT_IMPLEMENTED(cv::format("Flags:%d is not supported", flags));
}
CV_HAL_RETURN(status, fastcv_hal_SVD32f);
}
int fastcv_hal_gemm32f(
const float* src1,
size_t src1_step,
const float* src2,
size_t src2_step,
float alpha,
const float* src3,
size_t src3_step,
float beta,
float* dst,
size_t dst_step,
int m,
int n,
int k,
int flags)
{
cv::Mat src1_t, src2_t, src3_t, dst_temp1;
int height_a = m, width_a = n, width_d = k;
const float *src1p = src1, *src2p = src2, *src3p = src3;
INITIALIZATION_CHECK;
if((flags & (cv::GEMM_1_T)) && (flags & (cv::GEMM_2_T)))
{
height_a = n; width_a = m;
}
else if(flags & (cv::GEMM_1_T))
{
src1_t = cv::Mat(width_a, height_a, CV_32FC1);
fcvTransposef32_v2(src1, width_a, height_a, src1_step, src1_t.ptr<float>(), src1_t.step[0]);
src1p = src1_t.ptr<float>();
src1_step = src1_t.step[0];
height_a = n; width_a = m;
}
else if(flags & (cv::GEMM_2_T))
{
src2_t = cv::Mat(width_a, width_d, CV_32FC1);
fcvTransposef32_v2(src2, width_a, width_d, src2_step, src2_t.ptr<float>(), src2_t.step[0]);
src2p = src2_t.ptr<float>();
src2_step = src2_t.step[0];
}
if((flags & cv::GEMM_3_T) && beta != 0.0 && src3 != NULL)
{
src3_t = cv::Mat(height_a, width_d, CV_32FC1);
fcvTransposef32_v2(src3, height_a, width_d, src3_step, src3_t.ptr<float>(), src3_t.step[0]);
src3p = src3_t.ptr<float>();
src3_step = src3_t.step[0];
}
bool inplace = false;
size_t dst_stride;
float *dstp = NULL;
if(src1 == dst || src2 == dst || src3 == dst)
{
dst_temp1 = cv::Mat(height_a, width_d, CV_32FC1);
dstp = dst_temp1.ptr<float>();
inplace = true;
dst_stride = dst_temp1.step[0];
}
else
{
dstp = dst;
dst_stride = dst_step;
}
float *dstp1 = dstp;
fcvStatus status = FASTCV_SUCCESS;
if(alpha != 0.0)
{
if((flags & (cv::GEMM_1_T)) && (flags & (cv::GEMM_2_T)))
{
cv::Mat dst_temp2 = cv::Mat(k, n, CV_32FC1);
fcvMatrixMultiplyf32_v2(src2p, m, k, src2_step, src1p, n, src1_step,
dst_temp2.ptr<float>(), dst_temp2.step[0]);
fcvTransposef32_v2(dst_temp2.ptr<float>(), n, k, dst_temp2.step[0], dstp, dst_stride);
}
else
{
status = fcvMatrixMultiplyf32_v2(src1p, width_a, height_a, src1_step, src2p, width_d,
src2_step, dstp, dst_stride);
}
}
if(alpha != 1.0 && alpha != 0.0 && status == FASTCV_SUCCESS)
{
status = fcvMultiplyScalarf32(dstp, width_d, height_a, dst_stride, alpha, dstp1, dst_stride);
}
if(src3 != NULL && beta != 0.0 && status == FASTCV_SUCCESS)
{
cv::Mat dst3 = cv::Mat(height_a, width_d, CV_32FC1);
if(beta != 1.0)
{
status = fcvMultiplyScalarf32(src3p, width_d, height_a, src3_step, beta, (float32_t*)dst3.data, dst3.step);
if(status == FASTCV_SUCCESS)
fcvAddf32_v2(dstp, width_d, height_a, dst_stride, (float32_t*)dst3.data, dst3.step, dstp1, dst_stride);
}
else
fcvAddf32_v2(dstp, width_d, height_a, dst_stride, src3p, src3_step, dstp1, dst_stride);
}
if(inplace)
{
cv::Mat dst_mat = cv::Mat(height_a, width_d, CV_32FC1, (void*)dst, dst_step);
dst_temp1.copyTo(dst_mat);
}
CV_HAL_RETURN(status,hal_gemm32f);
}
File diff suppressed because it is too large Load Diff
+56
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@@ -0,0 +1,56 @@
/*
* Copyright (c) 2024 Qualcomm Innovation Center, Inc. All rights reserved.
* SPDX-License-Identifier: Apache-2.0
*/
#include "fastcv_hal_utils.hpp"
const char* getFastCVErrorString(int status)
{
switch(status)
{
case FASTCV_SUCCESS: return "Successful";
case FASTCV_EFAIL: return "General failure";
case FASTCV_EUNALIGNPARAM: return "Unaligned pointer parameter";
case FASTCV_EBADPARAM: return "Bad parameters";
case FASTCV_EINVALSTATE: return "Called at invalid state";
case FASTCV_ENORES: return "Insufficient resources, memory, thread, etc";
case FASTCV_EUNSUPPORTED: return "Unsupported feature";
case FASTCV_EHWQDSP: return "Hardware QDSP failed to respond";
case FASTCV_EHWGPU: return "Hardware GPU failed to respond";
default: return "Unknown FastCV Error";
}
}
const char* borderToString(int border)
{
switch (border)
{
case 0: return "BORDER_CONSTANT";
case 1: return "BORDER_REPLICATE";
case 2: return "BORDER_REFLECT";
case 3: return "BORDER_WRAP";
case 4: return "BORDER_REFLECT_101";
case 5: return "BORDER_TRANSPARENT";
default: return "Unknown border type";
}
}
const char* interpolationToString(int interpolation)
{
switch (interpolation)
{
case 0: return "INTER_NEAREST";
case 1: return "INTER_LINEAR";
case 2: return "INTER_CUBIC";
case 3: return "INTER_AREA";
case 4: return "INTER_LANCZOS4";
case 5: return "INTER_LINEAR_EXACT";
case 6: return "INTER_NEAREST_EXACT";
case 7: return "INTER_MAX";
case 8: return "WARP_FILL_OUTLIERS";
case 16: return "WARP_INVERSE_MAP";
case 32: return "WARP_RELATIVE_MAP";
default: return "Unknown interpolation type";
}
}
+49
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@@ -0,0 +1,49 @@
project(ipphal)
set(IPP_HAL_VERSION 0.0.1 CACHE INTERNAL "")
set(IPP_HAL_LIBRARIES "ipphal" CACHE INTERNAL "")
set(IPP_HAL_INCLUDE_DIRS "${CMAKE_CURRENT_SOURCE_DIR}/include" CACHE INTERNAL "")
set(IPP_HAL_HEADERS
"${CMAKE_CURRENT_SOURCE_DIR}/include/ipp_hal_core.hpp"
CACHE INTERNAL "")
add_library(ipphal STATIC
"${CMAKE_CURRENT_SOURCE_DIR}/src/mean_ipp.cpp"
"${CMAKE_CURRENT_SOURCE_DIR}/src/minmax_ipp.cpp"
"${CMAKE_CURRENT_SOURCE_DIR}/src/norm_ipp.cpp"
"${CMAKE_CURRENT_SOURCE_DIR}/src/cart_polar_ipp.cpp"
"${CMAKE_CURRENT_SOURCE_DIR}/src/transforms_ipp.cpp"
)
#TODO: HAVE_IPP_ICV and HAVE_IPP_IW added as private macro till OpenCV itself is
# source of IPP and public definitions lead to redefinition warning
# The macro should be redefined as PUBLIC when IPP part is removed from core
# to make HAL the source of IPP integration
if(HAVE_IPP_ICV)
target_compile_definitions(ipphal PRIVATE HAVE_IPP_ICV)
endif()
if(HAVE_IPP_IW)
target_compile_definitions(ipphal PRIVATE HAVE_IPP_IW)
endif()
target_include_directories(ipphal PRIVATE "${CMAKE_CURRENT_SOURCE_DIR}/include")
ocv_warnings_disable(CMAKE_CXX_FLAGS -Wno-suggest-override)
target_include_directories(ipphal PRIVATE
"${CMAKE_CURRENT_SOURCE_DIR}/src"
${CMAKE_SOURCE_DIR}/modules/core/include
${IPP_INCLUDE_DIRS}
)
target_link_libraries(ipphal PUBLIC ${IPP_IW_LIBRARY} ${IPP_LIBRARIES})
set_target_properties(ipphal PROPERTIES ARCHIVE_OUTPUT_DIRECTORY ${3P_LIBRARY_OUTPUT_PATH})
if(NOT BUILD_SHARED_LIBS)
ocv_install_target(ipphal EXPORT OpenCVModules ARCHIVE DESTINATION ${OPENCV_3P_LIB_INSTALL_PATH} COMPONENT dev)
endif()
if(ENABLE_SOLUTION_FOLDERS)
set_target_properties(ipphal PROPERTIES FOLDER "3rdparty")
endif()
+59
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#ifndef __IPP_HAL_CORE_HPP__
#define __IPP_HAL_CORE_HPP__
#include <opencv2/core/base.hpp>
#include "ipp_utils.hpp"
#if (IPP_VERSION_X100 >= 700)
int ipp_hal_meanStdDev(const uchar* src_data, size_t src_step, int width, int height, int src_type,
double* mean_val, double* stddev_val, uchar* mask, size_t mask_step);
#undef cv_hal_meanStdDev
#define cv_hal_meanStdDev ipp_hal_meanStdDev
int ipp_hal_minMaxIdxMaskStep(const uchar* src_data, size_t src_step, int width, int height, int depth,
double* _minVal, double* _maxVal, int* _minIdx, int* _maxIdx, uchar* mask, size_t mask_step);
#undef cv_hal_minMaxIdxMaskStep
#define cv_hal_minMaxIdxMaskStep ipp_hal_minMaxIdxMaskStep
#define IPP_DISABLE_NORM_8U 1 // accuracy difference in perf test sanity check
int ipp_hal_norm(const uchar* src, size_t src_step, const uchar* mask, size_t mask_step,
int width, int height, int type, int norm_type, double* result);
#undef cv_hal_norm
#define cv_hal_norm ipp_hal_norm
int ipp_hal_normDiff(const uchar* src1, size_t src1_step, const uchar* src2, size_t src2_step, const uchar* mask,
size_t mask_step, int width, int height, int type, int norm_type, double* result);
#undef cv_hal_normDiff
#define cv_hal_normDiff ipp_hal_normDiff
#endif
int ipp_hal_polarToCart32f(const float* mag, const float* angle, float* x, float* y, int len, bool angleInDegrees);
int ipp_hal_polarToCart64f(const double* mag, const double* angle, double* x, double* y, int len, bool angleInDegrees);
#undef cv_hal_polarToCart32f
#define cv_hal_polarToCart32f ipp_hal_polarToCart32f
#undef cv_hal_polarToCart64f
#define cv_hal_polarToCart64f ipp_hal_polarToCart64f
#ifdef HAVE_IPP_IW
int ipp_hal_flip(int src_type, const uchar* src_data, size_t src_step, int src_width, int src_height,
uchar* dst_data, size_t dst_step, int flip_mode);
#undef cv_hal_flip
#define cv_hal_flip ipp_hal_flip
#endif
int ipp_hal_transpose2d(const uchar* src_data, size_t src_step, uchar* dst_data, size_t dst_step, int src_width,
int src_height, int element_size);
#undef cv_hal_transpose2d
#define cv_hal_transpose2d ipp_hal_transpose2d
#endif
+24
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#ifndef __IPP_HAL_UTILS_HPP__
#define __IPP_HAL_UTILS_HPP__
#include "ippversion.h"
#ifndef IPP_VERSION_UPDATE // prior to 7.1
#define IPP_VERSION_UPDATE 0
#endif
#define IPP_VERSION_X100 (IPP_VERSION_MAJOR * 100 + IPP_VERSION_MINOR*10 + IPP_VERSION_UPDATE)
#ifdef HAVE_IPP_ICV
# define ICV_BASE
#if IPP_VERSION_X100 >= 201700
# include "ippicv.h"
#else
# include "ipp.h"
#endif
#else
# include "ipp.h"
#endif
#define CV_INSTRUMENT_FUN_IPP(FUN, ...) ((FUN)(__VA_ARGS__))
#endif
+28
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#include "ipp_hal_core.hpp"
#include <opencv2/core/core.hpp>
#include <opencv2/core/base.hpp>
int ipp_hal_polarToCart32f(const float* mag, const float* angle, float* x, float* y, int len, bool angleInDegrees)
{
const bool isInPlace = (x == mag) || (x == angle) || (y == mag) || (y == angle);
if (isInPlace || angleInDegrees)
return CV_HAL_ERROR_NOT_IMPLEMENTED;
if (CV_INSTRUMENT_FUN_IPP(ippsPolarToCart_32f, mag, angle, x, y, len) < 0)
return CV_HAL_ERROR_NOT_IMPLEMENTED;
return CV_HAL_ERROR_OK;
}
int ipp_hal_polarToCart64f(const double* mag, const double* angle, double* x, double* y, int len, bool angleInDegrees)
{
const bool isInPlace = (x == mag) || (x == angle) || (y == mag) || (y == angle);
if (isInPlace || angleInDegrees)
return CV_HAL_ERROR_NOT_IMPLEMENTED;
if (CV_INSTRUMENT_FUN_IPP(ippsPolarToCart_64f, mag, angle, x, y, len) < 0)
return CV_HAL_ERROR_NOT_IMPLEMENTED;
return CV_HAL_ERROR_OK;
}
+206
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#include "ipp_hal_core.hpp"
#include <opencv2/core.hpp>
#include <opencv2/core/base.hpp>
#if IPP_VERSION_X100 >= 700
static int ipp_mean(const uchar* src_data, size_t src_step, int width, int height,
int src_type, double* mean_val, uchar* mask, size_t mask_step)
{
int cn = CV_MAT_CN(src_type);
if (cn > 4)
{
return CV_HAL_ERROR_NOT_IMPLEMENTED;
}
if((src_step == 1 || src_step == static_cast<size_t>(width)) && (mask_step == 1 || mask_step == static_cast<size_t>(width)))
{
IppiSize sz = { width, height };
if( mask )
{
typedef IppStatus (CV_STDCALL* ippiMaskMeanFuncC1)(const void *, int, const void *, int, IppiSize, Ipp64f *);
ippiMaskMeanFuncC1 ippiMean_C1MR =
src_type == CV_8UC1 ? (ippiMaskMeanFuncC1)ippiMean_8u_C1MR :
src_type == CV_16UC1 ? (ippiMaskMeanFuncC1)ippiMean_16u_C1MR :
src_type == CV_32FC1 ? (ippiMaskMeanFuncC1)ippiMean_32f_C1MR :
0;
if( ippiMean_C1MR )
{
if( CV_INSTRUMENT_FUN_IPP(ippiMean_C1MR, src_data, (int)src_step, mask, (int)mask_step, sz, mean_val) >= 0 )
{
return CV_HAL_ERROR_OK;
}
}
typedef IppStatus (CV_STDCALL* ippiMaskMeanFuncC3)(const void *, int, const void *, int, IppiSize, int, Ipp64f *);
ippiMaskMeanFuncC3 ippiMean_C3MR =
src_type == CV_8UC3 ? (ippiMaskMeanFuncC3)ippiMean_8u_C3CMR :
src_type == CV_16UC3 ? (ippiMaskMeanFuncC3)ippiMean_16u_C3CMR :
src_type == CV_32FC3 ? (ippiMaskMeanFuncC3)ippiMean_32f_C3CMR :
0;
if( ippiMean_C3MR )
{
if( CV_INSTRUMENT_FUN_IPP(ippiMean_C3MR, src_data, (int)src_step, mask, (int)mask_step, sz, 1, &mean_val[0]) >= 0 &&
CV_INSTRUMENT_FUN_IPP(ippiMean_C3MR, src_data, (int)src_step, mask, (int)mask_step, sz, 2, &mean_val[1]) >= 0 &&
CV_INSTRUMENT_FUN_IPP(ippiMean_C3MR, src_data, (int)src_step, mask, (int)mask_step, sz, 3, &mean_val[2]) >= 0 )
{
return CV_HAL_ERROR_OK;
}
}
}
else
{
typedef IppStatus (CV_STDCALL* ippiMeanFuncHint)(const void*, int, IppiSize, double *, IppHintAlgorithm);
typedef IppStatus (CV_STDCALL* ippiMeanFuncNoHint)(const void*, int, IppiSize, double *);
ippiMeanFuncHint ippiMeanHint =
src_type == CV_32FC1 ? (ippiMeanFuncHint)ippiMean_32f_C1R :
src_type == CV_32FC3 ? (ippiMeanFuncHint)ippiMean_32f_C3R :
src_type == CV_32FC4 ? (ippiMeanFuncHint)ippiMean_32f_C4R :
0;
ippiMeanFuncNoHint ippiMean =
src_type == CV_8UC1 ? (ippiMeanFuncNoHint)ippiMean_8u_C1R :
src_type == CV_8UC3 ? (ippiMeanFuncNoHint)ippiMean_8u_C3R :
src_type == CV_8UC4 ? (ippiMeanFuncNoHint)ippiMean_8u_C4R :
src_type == CV_16UC1 ? (ippiMeanFuncNoHint)ippiMean_16u_C1R :
src_type == CV_16UC3 ? (ippiMeanFuncNoHint)ippiMean_16u_C3R :
src_type == CV_16UC4 ? (ippiMeanFuncNoHint)ippiMean_16u_C4R :
src_type == CV_16SC1 ? (ippiMeanFuncNoHint)ippiMean_16s_C1R :
src_type == CV_16SC3 ? (ippiMeanFuncNoHint)ippiMean_16s_C3R :
src_type == CV_16SC4 ? (ippiMeanFuncNoHint)ippiMean_16s_C4R :
0;
// Make sure only zero or one version of the function pointer is valid
CV_Assert(!ippiMeanHint || !ippiMean);
if( ippiMeanHint || ippiMean )
{
IppStatus status = ippiMeanHint ? CV_INSTRUMENT_FUN_IPP(ippiMeanHint, src_data, (int)src_step, sz, mean_val, ippAlgHintAccurate) :
CV_INSTRUMENT_FUN_IPP(ippiMean, src_data, (int)src_step, sz, mean_val);
if( status >= 0 )
{
return CV_HAL_ERROR_OK;
}
}
}
}
return CV_HAL_ERROR_NOT_IMPLEMENTED;
}
static int ipp_meanStdDev(const uchar* src_data, size_t src_step, int width, int height,
int src_type, double* mean_val, double* stddev_val, uchar* mask, size_t mask_step)
{
int cn = CV_MAT_CN(src_type);
if((src_step == 1 || src_step == static_cast<size_t>(width)) && (mask_step == 1 || mask_step == static_cast<size_t>(width)))
{
Ipp64f mean_temp[3];
Ipp64f stddev_temp[3];
Ipp64f *pmean = &mean_temp[0];
Ipp64f *pstddev = &stddev_temp[0];
int dcn_mean = -1;
if( mean_val )
{
dcn_mean = cn;
pmean = mean_val;
}
int dcn_stddev = -1;
if( stddev_val )
{
dcn_stddev = cn;
pstddev = stddev_val;
}
for( int c = cn; c < dcn_mean; c++ )
pmean[c] = 0;
for( int c = cn; c < dcn_stddev; c++ )
pstddev[c] = 0;
IppiSize sz = { width, height };
if( !mask )
{
typedef IppStatus (CV_STDCALL* ippiMaskMeanStdDevFuncC1)(const void *, int, const void *, int, IppiSize, Ipp64f *, Ipp64f *);
ippiMaskMeanStdDevFuncC1 ippiMean_StdDev_C1MR =
src_type == CV_8UC1 ? (ippiMaskMeanStdDevFuncC1)ippiMean_StdDev_8u_C1MR :
src_type == CV_16UC1 ? (ippiMaskMeanStdDevFuncC1)ippiMean_StdDev_16u_C1MR :
src_type == CV_32FC1 ? (ippiMaskMeanStdDevFuncC1)ippiMean_StdDev_32f_C1MR :
nullptr;
if( ippiMean_StdDev_C1MR )
{
if( CV_INSTRUMENT_FUN_IPP(ippiMean_StdDev_C1MR, src_data, (int)src_step, mask, (int)mask_step, sz, pmean, pstddev) >= 0 )
{
return CV_HAL_ERROR_OK;
}
}
typedef IppStatus (CV_STDCALL* ippiMaskMeanStdDevFuncC3)(const void *, int, const void *, int, IppiSize, int, Ipp64f *, Ipp64f *);
ippiMaskMeanStdDevFuncC3 ippiMean_StdDev_C3CMR =
src_type == CV_8UC3 ? (ippiMaskMeanStdDevFuncC3)ippiMean_StdDev_8u_C3CMR :
src_type == CV_16UC3 ? (ippiMaskMeanStdDevFuncC3)ippiMean_StdDev_16u_C3CMR :
src_type == CV_32FC3 ? (ippiMaskMeanStdDevFuncC3)ippiMean_StdDev_32f_C3CMR :
nullptr;
if( ippiMean_StdDev_C3CMR )
{
if( CV_INSTRUMENT_FUN_IPP(ippiMean_StdDev_C3CMR, src_data, (int)src_step, mask, (int)mask_step, sz, 1, &pmean[0], &pstddev[0]) >= 0 &&
CV_INSTRUMENT_FUN_IPP(ippiMean_StdDev_C3CMR, src_data, (int)src_step, mask, (int)mask_step, sz, 2, &pmean[1], &pstddev[1]) >= 0 &&
CV_INSTRUMENT_FUN_IPP(ippiMean_StdDev_C3CMR, src_data, (int)src_step, mask, (int)mask_step, sz, 3, &pmean[2], &pstddev[2]) >= 0 )
{
return CV_HAL_ERROR_OK;
}
}
}
else
{
typedef IppStatus (CV_STDCALL* ippiMeanStdDevFuncC1)(const void *, int, IppiSize, Ipp64f *, Ipp64f *);
ippiMeanStdDevFuncC1 ippiMean_StdDev_C1R =
src_type == CV_8UC1 ? (ippiMeanStdDevFuncC1)ippiMean_StdDev_8u_C1R :
src_type == CV_16UC1 ? (ippiMeanStdDevFuncC1)ippiMean_StdDev_16u_C1R :
#if (IPP_VERSION_X100 >= 810)
src_type == CV_32FC1 ? (ippiMeanStdDevFuncC1)ippiMean_StdDev_32f_C1R ://Aug 2013: bug in IPP 7.1, 8.0
#endif
nullptr;
if( ippiMean_StdDev_C1R )
{
if( CV_INSTRUMENT_FUN_IPP(ippiMean_StdDev_C1R, src_data, (int)src_step, sz, pmean, pstddev) >= 0 )
{
return CV_HAL_ERROR_OK;
}
}
typedef IppStatus (CV_STDCALL* ippiMeanStdDevFuncC3)(const void *, int, IppiSize, int, Ipp64f *, Ipp64f *);
ippiMeanStdDevFuncC3 ippiMean_StdDev_C3CR =
src_type == CV_8UC3 ? (ippiMeanStdDevFuncC3)ippiMean_StdDev_8u_C3CR :
src_type == CV_16UC3 ? (ippiMeanStdDevFuncC3)ippiMean_StdDev_16u_C3CR :
src_type == CV_32FC3 ? (ippiMeanStdDevFuncC3)ippiMean_StdDev_32f_C3CR :
nullptr;
if( ippiMean_StdDev_C3CR )
{
if( CV_INSTRUMENT_FUN_IPP(ippiMean_StdDev_C3CR, src_data, (int)src_step, sz, 1, &pmean[0], &pstddev[0]) >= 0 &&
CV_INSTRUMENT_FUN_IPP(ippiMean_StdDev_C3CR, src_data, (int)src_step, sz, 2, &pmean[1], &pstddev[1]) >= 0 &&
CV_INSTRUMENT_FUN_IPP(ippiMean_StdDev_C3CR, src_data, (int)src_step, sz, 3, &pmean[2], &pstddev[2]) >= 0 )
{
return CV_HAL_ERROR_OK;
}
}
}
}
return CV_HAL_ERROR_NOT_IMPLEMENTED;
}
int ipp_hal_meanStdDev(const uchar* src_data, size_t src_step, int width, int height, int src_type,
double* mean_val, double* stddev_val, uchar* mask, size_t mask_step)
{
if (stddev_val)
{
return ipp_meanStdDev(src_data, src_step, width, height, src_type, mean_val, stddev_val, mask, mask_step);
}
else
{
return ipp_mean(src_data, src_step, width, height, src_type, mean_val, mask, mask_step);
}
}
#endif // IPP_VERSION_X100 >= 700
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#include "ipp_hal_core.hpp"
#include <opencv2/core.hpp>
#include <opencv2/core/base.hpp>
#define IPP_DISABLE_MINMAXIDX_MANY_ROWS 1 // see Core_MinMaxIdx.rows_overflow test
static inline IppDataType ippiGetDataType(int depth)
{
depth = CV_MAT_DEPTH(depth);
return depth == CV_8U ? ipp8u :
depth == CV_8S ? ipp8s :
depth == CV_16U ? ipp16u :
depth == CV_16S ? ipp16s :
depth == CV_32S ? ipp32s :
depth == CV_32F ? ipp32f :
depth == CV_64F ? ipp64f :
(IppDataType)-1;
}
#if IPP_VERSION_X100 >= 700
static IppStatus ipp_minMaxIndex_wrap(const void* pSrc, int srcStep, IppiSize size, IppDataType dataType,
float* pMinVal, float* pMaxVal, IppiPoint* pMinIndex, IppiPoint* pMaxIndex, const Ipp8u*, int)
{
switch(dataType)
{
case ipp8u: return CV_INSTRUMENT_FUN_IPP(ippiMinMaxIndx_8u_C1R, (const Ipp8u*)pSrc, srcStep, size, pMinVal, pMaxVal, pMinIndex, pMaxIndex);
case ipp16u: return CV_INSTRUMENT_FUN_IPP(ippiMinMaxIndx_16u_C1R, (const Ipp16u*)pSrc, srcStep, size, pMinVal, pMaxVal, pMinIndex, pMaxIndex);
case ipp32f: return CV_INSTRUMENT_FUN_IPP(ippiMinMaxIndx_32f_C1R, (const Ipp32f*)pSrc, srcStep, size, pMinVal, pMaxVal, pMinIndex, pMaxIndex);
default: return ippStsDataTypeErr;
}
}
static IppStatus ipp_minMaxIndexMask_wrap(const void* pSrc, int srcStep, IppiSize size, IppDataType dataType,
float* pMinVal, float* pMaxVal, IppiPoint* pMinIndex, IppiPoint* pMaxIndex, const Ipp8u* pMask, int maskStep)
{
switch(dataType)
{
case ipp8u: return CV_INSTRUMENT_FUN_IPP(ippiMinMaxIndx_8u_C1MR, (const Ipp8u*)pSrc, srcStep, pMask, maskStep, size, pMinVal, pMaxVal, pMinIndex, pMaxIndex);
case ipp16u: return CV_INSTRUMENT_FUN_IPP(ippiMinMaxIndx_16u_C1MR, (const Ipp16u*)pSrc, srcStep, pMask, maskStep, size, pMinVal, pMaxVal, pMinIndex, pMaxIndex);
case ipp32f: return CV_INSTRUMENT_FUN_IPP(ippiMinMaxIndx_32f_C1MR, (const Ipp32f*)pSrc, srcStep, pMask, maskStep, size, pMinVal, pMaxVal, pMinIndex, pMaxIndex);
default: return ippStsDataTypeErr;
}
}
static IppStatus ipp_minMax_wrap(const void* pSrc, int srcStep, IppiSize size, IppDataType dataType,
float* pMinVal, float* pMaxVal, IppiPoint*, IppiPoint*, const Ipp8u*, int)
{
IppStatus status;
switch(dataType)
{
#if IPP_VERSION_X100 > 201701 // wrong min values
case ipp8u:
{
Ipp8u val[2];
status = CV_INSTRUMENT_FUN_IPP(ippiMinMax_8u_C1R, (const Ipp8u*)pSrc, srcStep, size, &val[0], &val[1]);
*pMinVal = val[0];
*pMaxVal = val[1];
return status;
}
#endif
case ipp16u:
{
Ipp16u val[2];
status = CV_INSTRUMENT_FUN_IPP(ippiMinMax_16u_C1R, (const Ipp16u*)pSrc, srcStep, size, &val[0], &val[1]);
*pMinVal = val[0];
*pMaxVal = val[1];
return status;
}
case ipp16s:
{
Ipp16s val[2];
status = CV_INSTRUMENT_FUN_IPP(ippiMinMax_16s_C1R, (const Ipp16s*)pSrc, srcStep, size, &val[0], &val[1]);
*pMinVal = val[0];
*pMaxVal = val[1];
return status;
}
case ipp32f: return CV_INSTRUMENT_FUN_IPP(ippiMinMax_32f_C1R, (const Ipp32f*)pSrc, srcStep, size, pMinVal, pMaxVal);
default: return ipp_minMaxIndex_wrap(pSrc, srcStep, size, dataType, pMinVal, pMaxVal, NULL, NULL, NULL, 0);
}
}
static IppStatus ipp_minIdx_wrap(const void* pSrc, int srcStep, IppiSize size, IppDataType dataType,
float* pMinVal, float*, IppiPoint* pMinIndex, IppiPoint*, const Ipp8u*, int)
{
IppStatus status;
switch(dataType)
{
case ipp8u:
{
Ipp8u val;
status = CV_INSTRUMENT_FUN_IPP(ippiMinIndx_8u_C1R, (const Ipp8u*)pSrc, srcStep, size, &val, &pMinIndex->x, &pMinIndex->y);
*pMinVal = val;
return status;
}
case ipp16u:
{
Ipp16u val;
status = CV_INSTRUMENT_FUN_IPP(ippiMinIndx_16u_C1R, (const Ipp16u*)pSrc, srcStep, size, &val, &pMinIndex->x, &pMinIndex->y);
*pMinVal = val;
return status;
}
case ipp16s:
{
Ipp16s val;
status = CV_INSTRUMENT_FUN_IPP(ippiMinIndx_16s_C1R, (const Ipp16s*)pSrc, srcStep, size, &val, &pMinIndex->x, &pMinIndex->y);
*pMinVal = val;
return status;
}
case ipp32f: return CV_INSTRUMENT_FUN_IPP(ippiMinIndx_32f_C1R, (const Ipp32f*)pSrc, srcStep, size, pMinVal, &pMinIndex->x, &pMinIndex->y);
default: return ipp_minMaxIndex_wrap(pSrc, srcStep, size, dataType, pMinVal, NULL, pMinIndex, NULL, NULL, 0);
}
}
static IppStatus ipp_maxIdx_wrap(const void* pSrc, int srcStep, IppiSize size, IppDataType dataType,
float*, float* pMaxVal, IppiPoint*, IppiPoint* pMaxIndex, const Ipp8u*, int)
{
IppStatus status;
switch(dataType)
{
case ipp8u:
{
Ipp8u val;
status = CV_INSTRUMENT_FUN_IPP(ippiMaxIndx_8u_C1R, (const Ipp8u*)pSrc, srcStep, size, &val, &pMaxIndex->x, &pMaxIndex->y);
*pMaxVal = val;
return status;
}
case ipp16u:
{
Ipp16u val;
status = CV_INSTRUMENT_FUN_IPP(ippiMaxIndx_16u_C1R, (const Ipp16u*)pSrc, srcStep, size, &val, &pMaxIndex->x, &pMaxIndex->y);
*pMaxVal = val;
return status;
}
case ipp16s:
{
Ipp16s val;
status = CV_INSTRUMENT_FUN_IPP(ippiMaxIndx_16s_C1R, (const Ipp16s*)pSrc, srcStep, size, &val, &pMaxIndex->x, &pMaxIndex->y);
*pMaxVal = val;
return status;
}
case ipp32f: return CV_INSTRUMENT_FUN_IPP(ippiMaxIndx_32f_C1R, (const Ipp32f*)pSrc, srcStep, size, pMaxVal, &pMaxIndex->x, &pMaxIndex->y);
default: return ipp_minMaxIndex_wrap(pSrc, srcStep, size, dataType, NULL, pMaxVal, NULL, pMaxIndex, NULL, 0);
}
}
typedef IppStatus (*IppMinMaxSelector)(const void* pSrc, int srcStep, IppiSize size, IppDataType dataType,
float* pMinVal, float* pMaxVal, IppiPoint* pMinIndex, IppiPoint* pMaxIndex, const Ipp8u* pMask, int maskStep);
int ipp_hal_minMaxIdxMaskStep(const uchar* src_data, size_t src_step, int width, int height, int depth,
double* _minVal, double* _maxVal, int* _minIdx, int* _maxIdx, uchar* mask, size_t mask_step)
{
#if IPP_VERSION_X100 < 201800
// cv::minMaxIdx problem with NaN input
// Disable 32F processing only
if(depth == CV_32F && cv::ipp::getIppTopFeatures() == ippCPUID_SSE42)
return CV_HAL_ERROR_NOT_IMPLEMENTED;
#endif
#if IPP_VERSION_X100 < 201801
// cv::minMaxIdx problem with index positions on AVX
if(mask && _maxIdx && cv::ipp::getIppTopFeatures() != ippCPUID_SSE42)
return CV_HAL_ERROR_NOT_IMPLEMENTED;
#endif
IppStatus status;
IppDataType dataType = ippiGetDataType(depth);
float minVal = 0;
float maxVal = 0;
IppiPoint minIdx = {-1, -1};
IppiPoint maxIdx = {-1, -1};
float *pMinVal = (_minVal || _minIdx)?&minVal:NULL;
float *pMaxVal = (_maxVal || _maxIdx)?&maxVal:NULL;
IppiPoint *pMinIdx = (_minIdx)?&minIdx:NULL;
IppiPoint *pMaxIdx = (_maxIdx)?&maxIdx:NULL;
IppMinMaxSelector ippMinMaxFun = ipp_minMaxIndexMask_wrap;
if(!mask)
{
if(_maxVal && _maxIdx && !_minVal && !_minIdx)
ippMinMaxFun = ipp_maxIdx_wrap;
else if(!_maxVal && !_maxIdx && _minVal && _minIdx)
ippMinMaxFun = ipp_minIdx_wrap;
else if(_maxVal && !_maxIdx && _minVal && !_minIdx)
ippMinMaxFun = ipp_minMax_wrap;
else if(!_maxVal && !_maxIdx && !_minVal && !_minIdx)
return CV_HAL_ERROR_NOT_IMPLEMENTED;
else
ippMinMaxFun = ipp_minMaxIndex_wrap;
}
IppiSize size = { width, height };
#if defined(_WIN32) && !defined(_WIN64) && IPP_VERSION_X100 == 201900 && IPP_DISABLE_MINMAXIDX_MANY_ROWS
if (size.height > 65536)
return CV_HAL_ERROR_NOT_IMPLEMENTED; // test: Core_MinMaxIdx.rows_overflow
#endif
status = ippMinMaxFun(src_data, (int)src_step, size, dataType, pMinVal, pMaxVal, pMinIdx, pMaxIdx, (Ipp8u*)mask, (int)mask_step);
if(status < 0)
return CV_HAL_ERROR_NOT_IMPLEMENTED;
if(_minVal)
*_minVal = minVal;
if(_maxVal)
*_maxVal = maxVal;
if(_minIdx)
{
#if IPP_VERSION_X100 < 201801
// Should be just ippStsNoOperation check, but there is a bug in the function so we need additional checks
if(status == ippStsNoOperation && mask && !pMinIdx->x && !pMinIdx->y)
#else
if(status == ippStsNoOperation)
#endif
{
_minIdx[0] = -1;
_minIdx[1] = -1;
}
else
{
_minIdx[0] = minIdx.y;
_minIdx[1] = minIdx.x;
}
}
if(_maxIdx)
{
#if IPP_VERSION_X100 < 201801
// Should be just ippStsNoOperation check, but there is a bug in the function so we need additional checks
if(status == ippStsNoOperation && mask && !pMaxIdx->x && !pMaxIdx->y)
#else
if(status == ippStsNoOperation)
#endif
{
_maxIdx[0] = -1;
_maxIdx[1] = -1;
}
else
{
_maxIdx[0] = maxIdx.y;
_maxIdx[1] = maxIdx.x;
}
}
return CV_HAL_ERROR_OK;
}
#endif // IPP_VERSION_X100 >= 700
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#include "ipp_hal_core.hpp"
#include <opencv2/core.hpp>
#include <opencv2/core/base.hpp>
#if IPP_VERSION_X100 >= 700
int ipp_hal_norm(const uchar* src, size_t src_step, const uchar* mask, size_t mask_step,
int width, int height, int type, int norm_type, double* result)
{
if( mask )
{
IppiSize sz = { width, height };
typedef IppStatus (CV_STDCALL* ippiMaskNormFuncC1)(const void *, int, const void *, int, IppiSize, Ipp64f *);
ippiMaskNormFuncC1 ippiNorm_C1MR =
norm_type == cv::NORM_INF ?
(type == CV_8UC1 ? (ippiMaskNormFuncC1)ippiNorm_Inf_8u_C1MR :
type == CV_16UC1 ? (ippiMaskNormFuncC1)ippiNorm_Inf_16u_C1MR :
type == CV_32FC1 ? (ippiMaskNormFuncC1)ippiNorm_Inf_32f_C1MR :
0) :
norm_type == cv::NORM_L1 ?
(type == CV_8UC1 ? (ippiMaskNormFuncC1)ippiNorm_L1_8u_C1MR :
type == CV_16UC1 ? (ippiMaskNormFuncC1)ippiNorm_L1_16u_C1MR :
type == CV_32FC1 ? (ippiMaskNormFuncC1)ippiNorm_L1_32f_C1MR :
0) :
norm_type == cv::NORM_L2 || norm_type == cv::NORM_L2SQR ?
(type == CV_8UC1 ? (ippiMaskNormFuncC1)ippiNorm_L2_8u_C1MR :
type == CV_16UC1 ? (ippiMaskNormFuncC1)ippiNorm_L2_16u_C1MR :
type == CV_32FC1 ? (ippiMaskNormFuncC1)ippiNorm_L2_32f_C1MR :
0) : 0;
if( ippiNorm_C1MR )
{
Ipp64f norm;
if( CV_INSTRUMENT_FUN_IPP(ippiNorm_C1MR, src, (int)src_step, mask, (int)mask_step, sz, &norm) >= 0 )
{
*result = (norm_type == cv::NORM_L2SQR ? (double)(norm * norm) : (double)norm);
return CV_HAL_ERROR_OK;
}
}
typedef IppStatus (CV_STDCALL* ippiMaskNormFuncC3)(const void *, int, const void *, int, IppiSize, int, Ipp64f *);
ippiMaskNormFuncC3 ippiNorm_C3CMR =
norm_type == cv::NORM_INF ?
(type == CV_8UC3 ? (ippiMaskNormFuncC3)ippiNorm_Inf_8u_C3CMR :
type == CV_16UC3 ? (ippiMaskNormFuncC3)ippiNorm_Inf_16u_C3CMR :
type == CV_32FC3 ? (ippiMaskNormFuncC3)ippiNorm_Inf_32f_C3CMR :
0) :
norm_type == cv::NORM_L1 ?
(type == CV_8UC3 ? (ippiMaskNormFuncC3)ippiNorm_L1_8u_C3CMR :
type == CV_16UC3 ? (ippiMaskNormFuncC3)ippiNorm_L1_16u_C3CMR :
type == CV_32FC3 ? (ippiMaskNormFuncC3)ippiNorm_L1_32f_C3CMR :
0) :
norm_type == cv::NORM_L2 || norm_type == cv::NORM_L2SQR ?
(type == CV_8UC3 ? (ippiMaskNormFuncC3)ippiNorm_L2_8u_C3CMR :
type == CV_16UC3 ? (ippiMaskNormFuncC3)ippiNorm_L2_16u_C3CMR :
type == CV_32FC3 ? (ippiMaskNormFuncC3)ippiNorm_L2_32f_C3CMR :
0) : 0;
if( ippiNorm_C3CMR )
{
Ipp64f norm1, norm2, norm3;
if( CV_INSTRUMENT_FUN_IPP(ippiNorm_C3CMR, src, (int)src_step, mask, (int)mask_step, sz, 1, &norm1) >= 0 &&
CV_INSTRUMENT_FUN_IPP(ippiNorm_C3CMR, src, (int)src_step, mask, (int)mask_step, sz, 2, &norm2) >= 0 &&
CV_INSTRUMENT_FUN_IPP(ippiNorm_C3CMR, src, (int)src_step, mask, (int)mask_step, sz, 3, &norm3) >= 0)
{
Ipp64f norm =
norm_type == cv::NORM_INF ? std::max(std::max(norm1, norm2), norm3) :
norm_type == cv::NORM_L1 ? norm1 + norm2 + norm3 :
norm_type == cv::NORM_L2 || norm_type == cv::NORM_L2SQR ? std::sqrt(norm1 * norm1 + norm2 * norm2 + norm3 * norm3) :
0;
*result = (norm_type == cv::NORM_L2SQR ? (double)(norm * norm) : (double)norm);
return CV_HAL_ERROR_OK;
}
}
}
else
{
int cn = CV_MAT_CN(type);
IppiSize sz = { width*cn, height };
typedef IppStatus (CV_STDCALL* ippiNormFuncHint)(const void *, int, IppiSize, Ipp64f *, IppHintAlgorithm hint);
typedef IppStatus (CV_STDCALL* ippiNormFuncNoHint)(const void *, int, IppiSize, Ipp64f *);
ippiNormFuncHint ippiNormHint =
norm_type == cv::NORM_L1 ?
(type == CV_32FC1 ? (ippiNormFuncHint)ippiNorm_L1_32f_C1R :
0) :
norm_type == cv::NORM_L2 || norm_type == cv::NORM_L2SQR ?
(type == CV_32FC1 ? (ippiNormFuncHint)ippiNorm_L2_32f_C1R :
0) : 0;
ippiNormFuncNoHint ippiNorm =
norm_type == cv::NORM_INF ?
(type == CV_8UC1 ? (ippiNormFuncNoHint)ippiNorm_Inf_8u_C1R :
type == CV_16UC1 ? (ippiNormFuncNoHint)ippiNorm_Inf_16u_C1R :
type == CV_16SC1 ? (ippiNormFuncNoHint)ippiNorm_Inf_16s_C1R :
type == CV_32FC1 ? (ippiNormFuncNoHint)ippiNorm_Inf_32f_C1R :
0) :
norm_type == cv::NORM_L1 ?
(type == CV_8UC1 ? (ippiNormFuncNoHint)ippiNorm_L1_8u_C1R :
type == CV_16UC1 ? (ippiNormFuncNoHint)ippiNorm_L1_16u_C1R :
type == CV_16SC1 ? (ippiNormFuncNoHint)ippiNorm_L1_16s_C1R :
0) :
norm_type == cv::NORM_L2 || norm_type == cv::NORM_L2SQR ?
(
#if (!IPP_DISABLE_NORM_8U)
type == CV_8UC1 ? (ippiNormFuncNoHint)ippiNorm_L2_8u_C1R :
#endif
type == CV_16UC1 ? (ippiNormFuncNoHint)ippiNorm_L2_16u_C1R :
type == CV_16SC1 ? (ippiNormFuncNoHint)ippiNorm_L2_16s_C1R :
0) : 0;
if( ippiNormHint || ippiNorm )
{
Ipp64f norm;
IppStatus ret = ippiNormHint ? CV_INSTRUMENT_FUN_IPP(ippiNormHint, src, (int)src_step, sz, &norm, ippAlgHintAccurate) :
CV_INSTRUMENT_FUN_IPP(ippiNorm, src, (int)src_step, sz, &norm);
if( ret >= 0 )
{
*result = (norm_type == cv::NORM_L2SQR) ? norm * norm : norm;
return CV_HAL_ERROR_OK;
}
}
}
return CV_HAL_ERROR_NOT_IMPLEMENTED;
}
int ipp_hal_normDiff(const uchar* src1, size_t src1_step, const uchar* src2, size_t src2_step, const uchar* mask,
size_t mask_step, int width, int height, int type, int norm_type, double* result)
{
if( norm_type & cv::NORM_RELATIVE )
{
norm_type &= cv::NORM_TYPE_MASK;
if( mask )
{
IppiSize sz = { width, height };
typedef IppStatus (CV_STDCALL* ippiMaskNormDiffFuncC1)(const void *, int, const void *, int, const void *, int, IppiSize, Ipp64f *);
ippiMaskNormDiffFuncC1 ippiNormRel_C1MR =
norm_type == cv::NORM_INF ?
(type == CV_8UC1 ? (ippiMaskNormDiffFuncC1)ippiNormRel_Inf_8u_C1MR :
type == CV_16UC1 ? (ippiMaskNormDiffFuncC1)ippiNormRel_Inf_16u_C1MR :
type == CV_32FC1 ? (ippiMaskNormDiffFuncC1)ippiNormRel_Inf_32f_C1MR :
0) :
norm_type == cv::NORM_L1 ?
(type == CV_8UC1 ? (ippiMaskNormDiffFuncC1)ippiNormRel_L1_8u_C1MR :
type == CV_16UC1 ? (ippiMaskNormDiffFuncC1)ippiNormRel_L1_16u_C1MR :
type == CV_32FC1 ? (ippiMaskNormDiffFuncC1)ippiNormRel_L1_32f_C1MR :
0) :
norm_type == cv::NORM_L2 || norm_type == cv::NORM_L2SQR ?
(type == CV_8UC1 ? (ippiMaskNormDiffFuncC1)ippiNormRel_L2_8u_C1MR :
type == CV_16UC1 ? (ippiMaskNormDiffFuncC1)ippiNormRel_L2_16u_C1MR :
type == CV_32FC1 ? (ippiMaskNormDiffFuncC1)ippiNormRel_L2_32f_C1MR :
0) : 0;
if( ippiNormRel_C1MR )
{
Ipp64f norm;
if( CV_INSTRUMENT_FUN_IPP(ippiNormRel_C1MR, src1, (int)src1_step, src2, (int)src2_step, mask, (int)mask_step, sz, &norm) >= 0 )
{
*result = (norm_type == cv::NORM_L2SQR ? (double)(norm * norm) : (double)norm);
return CV_HAL_ERROR_OK;
}
}
}
else
{
int cn = CV_MAT_CN(type);
type = CV_MAT_DEPTH(type);
IppiSize sz = { width*cn, height };
typedef IppStatus (CV_STDCALL* ippiNormRelFuncHint)(const void *, int, const void *, int, IppiSize, Ipp64f *, IppHintAlgorithm hint);
typedef IppStatus (CV_STDCALL* ippiNormRelFuncNoHint)(const void *, int, const void *, int, IppiSize, Ipp64f *);
ippiNormRelFuncHint ippiNormRelHint =
norm_type == cv::NORM_L1 ?
(type == CV_32F ? (ippiNormRelFuncHint)ippiNormRel_L1_32f_C1R :
0) :
norm_type == cv::NORM_L2 || norm_type == cv::NORM_L2SQR ?
(type == CV_32F ? (ippiNormRelFuncHint)ippiNormRel_L2_32f_C1R :
0) : 0;
ippiNormRelFuncNoHint ippiNormRel =
norm_type == cv::NORM_INF ?
(
#if (!IPP_DISABLE_NORM_8U)
type == CV_8U ? (ippiNormRelFuncNoHint)ippiNormRel_Inf_8u_C1R :
#endif
type == CV_16U ? (ippiNormRelFuncNoHint)ippiNormRel_Inf_16u_C1R :
type == CV_16S ? (ippiNormRelFuncNoHint)ippiNormRel_Inf_16s_C1R :
type == CV_32F ? (ippiNormRelFuncNoHint)ippiNormRel_Inf_32f_C1R :
0) :
norm_type == cv::NORM_L1 ?
(
#if (!IPP_DISABLE_NORM_8U)
type == CV_8U ? (ippiNormRelFuncNoHint)ippiNormRel_L1_8u_C1R :
#endif
type == CV_16U ? (ippiNormRelFuncNoHint)ippiNormRel_L1_16u_C1R :
type == CV_16S ? (ippiNormRelFuncNoHint)ippiNormRel_L1_16s_C1R :
0) :
norm_type == cv::NORM_L2 || norm_type == cv::NORM_L2SQR ?
(
#if (!IPP_DISABLE_NORM_8U)
type == CV_8U ? (ippiNormRelFuncNoHint)ippiNormRel_L2_8u_C1R :
#endif
type == CV_16U ? (ippiNormRelFuncNoHint)ippiNormRel_L2_16u_C1R :
type == CV_16S ? (ippiNormRelFuncNoHint)ippiNormRel_L2_16s_C1R :
0) : 0;
if( ippiNormRelHint || ippiNormRel )
{
Ipp64f norm;
IppStatus ret = ippiNormRelHint ? CV_INSTRUMENT_FUN_IPP(ippiNormRelHint, src1, (int)src1_step, src2, (int)src2_step, sz, &norm, ippAlgHintAccurate) :
CV_INSTRUMENT_FUN_IPP(ippiNormRel, src1, (int)src1_step, src2, (int)src2_step, sz, &norm);
if( ret >= 0 )
{
*result = (norm_type == cv::NORM_L2SQR) ? norm * norm : norm;
return CV_HAL_ERROR_OK;
}
}
}
return CV_HAL_ERROR_NOT_IMPLEMENTED;
}
norm_type &= cv::NORM_TYPE_MASK;
if( mask )
{
IppiSize sz = { width, height };
typedef IppStatus (CV_STDCALL* ippiMaskNormDiffFuncC1)(const void *, int, const void *, int, const void *, int, IppiSize, Ipp64f *);
ippiMaskNormDiffFuncC1 ippiNormDiff_C1MR =
norm_type == cv::NORM_INF ?
(type == CV_8UC1 ? (ippiMaskNormDiffFuncC1)ippiNormDiff_Inf_8u_C1MR :
type == CV_16UC1 ? (ippiMaskNormDiffFuncC1)ippiNormDiff_Inf_16u_C1MR :
type == CV_32FC1 ? (ippiMaskNormDiffFuncC1)ippiNormDiff_Inf_32f_C1MR :
0) :
norm_type == cv::NORM_L1 ?
(type == CV_8UC1 ? (ippiMaskNormDiffFuncC1)ippiNormDiff_L1_8u_C1MR :
type == CV_16UC1 ? (ippiMaskNormDiffFuncC1)ippiNormDiff_L1_16u_C1MR :
type == CV_32FC1 ? (ippiMaskNormDiffFuncC1)ippiNormDiff_L1_32f_C1MR :
0) :
norm_type == cv::NORM_L2 || norm_type == cv::NORM_L2SQR ?
(type == CV_8UC1 ? (ippiMaskNormDiffFuncC1)ippiNormDiff_L2_8u_C1MR :
type == CV_16UC1 ? (ippiMaskNormDiffFuncC1)ippiNormDiff_L2_16u_C1MR :
type == CV_32FC1 ? (ippiMaskNormDiffFuncC1)ippiNormDiff_L2_32f_C1MR :
0) : 0;
if( ippiNormDiff_C1MR )
{
Ipp64f norm;
if( CV_INSTRUMENT_FUN_IPP(ippiNormDiff_C1MR, src1, (int)src1_step, src2, (int)src2_step, mask, (int)mask_step, sz, &norm) >= 0 )
{
*result = (norm_type == cv::NORM_L2SQR ? (double)(norm * norm) : (double)norm);
return CV_HAL_ERROR_OK;
}
}
typedef IppStatus (CV_STDCALL* ippiMaskNormDiffFuncC3)(const void *, int, const void *, int, const void *, int, IppiSize, int, Ipp64f *);
ippiMaskNormDiffFuncC3 ippiNormDiff_C3CMR =
norm_type == cv::NORM_INF ?
(type == CV_8UC3 ? (ippiMaskNormDiffFuncC3)ippiNormDiff_Inf_8u_C3CMR :
type == CV_16UC3 ? (ippiMaskNormDiffFuncC3)ippiNormDiff_Inf_16u_C3CMR :
type == CV_32FC3 ? (ippiMaskNormDiffFuncC3)ippiNormDiff_Inf_32f_C3CMR :
0) :
norm_type == cv::NORM_L1 ?
(type == CV_8UC3 ? (ippiMaskNormDiffFuncC3)ippiNormDiff_L1_8u_C3CMR :
type == CV_16UC3 ? (ippiMaskNormDiffFuncC3)ippiNormDiff_L1_16u_C3CMR :
type == CV_32FC3 ? (ippiMaskNormDiffFuncC3)ippiNormDiff_L1_32f_C3CMR :
0) :
norm_type == cv::NORM_L2 || norm_type == cv::NORM_L2SQR ?
(type == CV_8UC3 ? (ippiMaskNormDiffFuncC3)ippiNormDiff_L2_8u_C3CMR :
type == CV_16UC3 ? (ippiMaskNormDiffFuncC3)ippiNormDiff_L2_16u_C3CMR :
type == CV_32FC3 ? (ippiMaskNormDiffFuncC3)ippiNormDiff_L2_32f_C3CMR :
0) : 0;
if( ippiNormDiff_C3CMR )
{
Ipp64f norm1, norm2, norm3;
if( CV_INSTRUMENT_FUN_IPP(ippiNormDiff_C3CMR, src1, (int)src1_step, src2, (int)src2_step, mask, (int)mask_step, sz, 1, &norm1) >= 0 &&
CV_INSTRUMENT_FUN_IPP(ippiNormDiff_C3CMR, src1, (int)src1_step, src2, (int)src2_step, mask, (int)mask_step, sz, 2, &norm2) >= 0 &&
CV_INSTRUMENT_FUN_IPP(ippiNormDiff_C3CMR, src1, (int)src1_step, src2, (int)src2_step, mask, (int)mask_step, sz, 3, &norm3) >= 0)
{
Ipp64f norm =
norm_type == cv::NORM_INF ? std::max(std::max(norm1, norm2), norm3) :
norm_type == cv::NORM_L1 ? norm1 + norm2 + norm3 :
norm_type == cv::NORM_L2 || norm_type == cv::NORM_L2SQR ? std::sqrt(norm1 * norm1 + norm2 * norm2 + norm3 * norm3) :
0;
*result = (norm_type == cv::NORM_L2SQR ? (double)(norm * norm) : (double)norm);
return CV_HAL_ERROR_OK;
}
}
}
else
{
int cn = CV_MAT_CN(type);
type = CV_MAT_DEPTH(type);
IppiSize sz = { width*cn, height };
typedef IppStatus (CV_STDCALL* ippiNormDiffFuncHint)(const void *, int, const void *, int, IppiSize, Ipp64f *, IppHintAlgorithm hint);
typedef IppStatus (CV_STDCALL* ippiNormDiffFuncNoHint)(const void *, int, const void *, int, IppiSize, Ipp64f *);
ippiNormDiffFuncHint ippiNormDiffHint =
norm_type == cv::NORM_L1 ?
(type == CV_32F ? (ippiNormDiffFuncHint)ippiNormDiff_L1_32f_C1R :
0) :
norm_type == cv::NORM_L2 || norm_type == cv::NORM_L2SQR ?
(type == CV_32F ? (ippiNormDiffFuncHint)ippiNormDiff_L2_32f_C1R :
0) : 0;
ippiNormDiffFuncNoHint ippiNormDiff =
norm_type == cv::NORM_INF ?
(
#if (!IPP_DISABLE_NORM_8U)
type == CV_8U ? (ippiNormDiffFuncNoHint)ippiNormDiff_Inf_8u_C1R :
#endif
type == CV_16U ? (ippiNormDiffFuncNoHint)ippiNormDiff_Inf_16u_C1R :
type == CV_16S ? (ippiNormDiffFuncNoHint)ippiNormDiff_Inf_16s_C1R :
type == CV_32F ? (ippiNormDiffFuncNoHint)ippiNormDiff_Inf_32f_C1R :
0) :
norm_type == cv::NORM_L1 ?
(
#if (!IPP_DISABLE_NORM_8U)
type == CV_8U ? (ippiNormDiffFuncNoHint)ippiNormDiff_L1_8u_C1R :
#endif
type == CV_16U ? (ippiNormDiffFuncNoHint)ippiNormDiff_L1_16u_C1R :
type == CV_16S ? (ippiNormDiffFuncNoHint)ippiNormDiff_L1_16s_C1R :
0) :
norm_type == cv::NORM_L2 || norm_type == cv::NORM_L2SQR ?
(
#if (!IPP_DISABLE_NORM_8U)
type == CV_8U ? (ippiNormDiffFuncNoHint)ippiNormDiff_L2_8u_C1R :
#endif
type == CV_16U ? (ippiNormDiffFuncNoHint)ippiNormDiff_L2_16u_C1R :
type == CV_16S ? (ippiNormDiffFuncNoHint)ippiNormDiff_L2_16s_C1R :
0) : 0;
if( ippiNormDiffHint || ippiNormDiff )
{
Ipp64f norm;
IppStatus ret = ippiNormDiffHint ? CV_INSTRUMENT_FUN_IPP(ippiNormDiffHint, src1, (int)src1_step, src2, (int)src2_step, sz, &norm, ippAlgHintAccurate) :
CV_INSTRUMENT_FUN_IPP(ippiNormDiff, src1, (int)src1_step, src2, (int)src2_step, sz, &norm);
if( ret >= 0 )
{
*result = (norm_type == cv::NORM_L2SQR) ? norm * norm : norm;
return CV_HAL_ERROR_OK;
}
}
}
return CV_HAL_ERROR_NOT_IMPLEMENTED;
}
#endif
+142
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@@ -0,0 +1,142 @@
#include "ipp_hal_core.hpp"
#include <opencv2/core.hpp>
#include <opencv2/core/base.hpp>
#ifdef HAVE_IPP_IW
#include "iw++/iw.hpp"
#endif
// HACK: Should be removed, when IPP management moved to HAL
namespace cv
{
namespace ipp
{
unsigned long long getIppTopFeatures(); // Returns top major enabled IPP feature flag
}
}
//bool ipp_transpose( Mat &src, Mat &dst )
int ipp_hal_transpose2d(const uchar* src_data, size_t src_step, uchar* dst_data, size_t dst_step, int src_width,
int src_height, int element_size)
{
typedef IppStatus (CV_STDCALL * IppiTranspose)(const void * pSrc, int srcStep, void * pDst, int dstStep, IppiSize roiSize);
typedef IppStatus (CV_STDCALL * IppiTransposeI)(const void * pSrcDst, int srcDstStep, IppiSize roiSize);
IppiTranspose ippiTranspose = nullptr;
IppiTransposeI ippiTranspose_I = nullptr;
if (dst_data == src_data && src_width == src_height)
{
CV_SUPPRESS_DEPRECATED_START
ippiTranspose_I =
element_size == 1*sizeof(char) ? (IppiTransposeI)ippiTranspose_8u_C1IR :
element_size == 3*sizeof(char) ? (IppiTransposeI)ippiTranspose_8u_C3IR :
element_size == 1*sizeof(short) ? (IppiTransposeI)ippiTranspose_16u_C1IR :
element_size == 4*sizeof(char) ? (IppiTransposeI)ippiTranspose_8u_C4IR :
element_size == 3*sizeof(short) ? (IppiTransposeI)ippiTranspose_16u_C3IR :
element_size == 4*sizeof(short) ? (IppiTransposeI)ippiTranspose_16u_C4IR :
element_size == 3*sizeof(int) ? (IppiTransposeI)ippiTranspose_32s_C3IR :
element_size == 4*sizeof(int) ? (IppiTransposeI)ippiTranspose_32s_C4IR : 0;
CV_SUPPRESS_DEPRECATED_END
}
else
{
ippiTranspose =
element_size == 1*sizeof(char) ? (IppiTranspose)ippiTranspose_8u_C1R :
element_size == 3*sizeof(char) ? (IppiTranspose)ippiTranspose_8u_C3R :
element_size == 4*sizeof(char) ? (IppiTranspose)ippiTranspose_8u_C4R :
element_size == 1*sizeof(short) ? (IppiTranspose)ippiTranspose_16u_C1R :
element_size == 3*sizeof(short) ? (IppiTranspose)ippiTranspose_16u_C3R :
element_size == 4*sizeof(short) ? (IppiTranspose)ippiTranspose_16u_C4R :
element_size == 1*sizeof(int) ? (IppiTranspose)ippiTranspose_32s_C1R :
element_size == 3*sizeof(int) ? (IppiTranspose)ippiTranspose_32s_C3R :
element_size == 4*sizeof(int) ? (IppiTranspose)ippiTranspose_32s_C4R : 0;
}
IppiSize roiSize = { src_width, src_height };
if (ippiTranspose != 0)
{
if (CV_INSTRUMENT_FUN_IPP(ippiTranspose, src_data, (int)src_step, dst_data, (int)dst_step, roiSize) >= 0)
return CV_HAL_ERROR_OK;
}
else if (ippiTranspose_I != 0)
{
if (CV_INSTRUMENT_FUN_IPP(ippiTranspose_I, dst_data, (int)dst_step, roiSize) >= 0)
return CV_HAL_ERROR_OK;
}
return CV_HAL_ERROR_NOT_IMPLEMENTED;
}
#ifdef HAVE_IPP_IW
static inline IppDataType ippiGetDataType(int depth)
{
depth = CV_MAT_DEPTH(depth);
return depth == CV_8U ? ipp8u :
depth == CV_8S ? ipp8s :
depth == CV_16U ? ipp16u :
depth == CV_16S ? ipp16s :
depth == CV_32S ? ipp32s :
depth == CV_32F ? ipp32f :
depth == CV_64F ? ipp64f :
(IppDataType)-1;
}
static inline ::ipp::IwiImage ippiGetImage(int src_type, const uchar* src_data, size_t src_step, int src_width, int src_height)
{
::ipp::IwiImage dst;
::ipp::IwiBorderSize inMemBorder;
// if(src.isSubmatrix()) // already have physical border
// {
// cv::Size origSize;
// cv::Point offset;
// src.locateROI(origSize, offset);
//
// inMemBorder.left = (IwSize)offset.x;
// inMemBorder.top = (IwSize)offset.y;
// inMemBorder.right = (IwSize)(origSize.width - src.cols - offset.x);
// inMemBorder.bottom = (IwSize)(origSize.height - src.rows - offset.y);
// }
dst.Init({src_width, src_height}, ippiGetDataType(CV_MAT_DEPTH(src_type)),
CV_MAT_CN(src_type), inMemBorder, (void*)src_data, src_step);
return dst;
}
int ipp_hal_flip(int src_type, const uchar* src_data, size_t src_step, int src_width, int src_height,
uchar* dst_data, size_t dst_step, int flip_mode)
{
int64_t total = src_step*src_height*CV_ELEM_SIZE(src_type);
// Details: https://github.com/opencv/opencv/issues/12943
if (flip_mode <= 0 /* swap rows */
&& total > 0 && total >= CV_BIG_INT(0x80000000)/*2Gb*/
&& cv::ipp::getIppTopFeatures() != ippCPUID_SSE42)
{
return CV_HAL_ERROR_NOT_IMPLEMENTED;
}
IppiAxis ippMode;
if(flip_mode < 0)
ippMode = ippAxsBoth;
else if(flip_mode == 0)
ippMode = ippAxsHorizontal;
else
ippMode = ippAxsVertical;
try
{
::ipp::IwiImage iwSrc = ippiGetImage(src_type, src_data, src_step, src_width, src_height);
::ipp::IwiImage iwDst = ippiGetImage(src_type, dst_data, dst_step, src_width, src_height);
CV_INSTRUMENT_FUN_IPP(::ipp::iwiMirror, iwSrc, iwDst, ippMode);
}
catch(const ::ipp::IwException &)
{
return CV_HAL_ERROR_NOT_IMPLEMENTED;
}
return CV_HAL_ERROR_OK;
}
#endif
+11
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@@ -0,0 +1,11 @@
project(kleidicv_hal)
if(HAVE_KLEIDICV)
option(KLEIDICV_ENABLE_SME2 "" OFF) # not compatible with some CLang versions in NDK
include("${KLEIDICV_SOURCE_PATH}/adapters/opencv/CMakeLists.txt")
# HACK to suppress adapters/opencv/kleidicv_hal.cpp:343:12: warning: unused function 'from_opencv' [-Wunused-function]
target_compile_options( kleidicv_hal PRIVATE
$<TARGET_PROPERTY:kleidicv,COMPILE_OPTIONS>
"-Wno-old-style-cast" "-Wno-unused-function"
)
endif()
+21
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@@ -0,0 +1,21 @@
function(download_kleidicv root_var)
set(${root_var} "" PARENT_SCOPE)
ocv_update(KLEIDICV_SRC_COMMIT "0.3.0")
ocv_update(KLEIDICV_SRC_HASH "51a77b0185c2bac2a968a2163869b1ed")
set(THE_ROOT "${OpenCV_BINARY_DIR}/3rdparty/kleidicv")
ocv_download(FILENAME "kleidicv-${KLEIDICV_SRC_COMMIT}.tar.gz"
HASH ${KLEIDICV_SRC_HASH}
URL
"${OPENCV_KLEIDICV_URL}"
"$ENV{OPENCV_KLEIDICV_URL}"
"https://gitlab.arm.com/kleidi/kleidicv/-/archive/${KLEIDICV_SRC_COMMIT}/"
DESTINATION_DIR ${THE_ROOT}
ID KLEIDICV
STATUS res
UNPACK RELATIVE_URL)
if(res)
set(${root_var} "${OpenCV_BINARY_DIR}/3rdparty/kleidicv/kleidicv-${KLEIDICV_SRC_COMMIT}" PARENT_SCOPE)
endif()
endfunction()
+34
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@@ -0,0 +1,34 @@
message(STATUS "##########")
message(STATUS "# NDSRVP #")
message(STATUS "##########")
cmake_minimum_required(VERSION ${MIN_VER_CMAKE} FATAL_ERROR)
# project setup
set(NDSRVP_INCLUDE_DIR include)
set(NDSRVP_SOURCE_DIR src)
file(GLOB ndsrvp_headers RELATIVE "${CMAKE_CURRENT_LIST_DIR}" "${NDSRVP_INCLUDE_DIR}/*.hpp")
file(GLOB ndsrvp_sources RELATIVE "${CMAKE_CURRENT_LIST_DIR}" "${NDSRVP_SOURCE_DIR}/*.cpp")
add_library(ndsrvp_hal STATIC)
target_sources(ndsrvp_hal PRIVATE ${ndsrvp_headers} ${ndsrvp_sources})
set_target_properties(ndsrvp_hal PROPERTIES ARCHIVE_OUTPUT_DIRECTORY ${3P_LIBRARY_OUTPUT_PATH})
if(NOT BUILD_SHARED_LIBS)
ocv_install_target(ndsrvp_hal EXPORT OpenCVModules ARCHIVE DESTINATION ${OPENCV_3P_LIB_INSTALL_PATH} COMPONENT dev)
endif()
target_include_directories(ndsrvp_hal PRIVATE
${CMAKE_CURRENT_SOURCE_DIR}
${CMAKE_SOURCE_DIR}/modules/core/include
${CMAKE_SOURCE_DIR}/modules/imgproc/include
${CMAKE_SOURCE_DIR}/modules/features/include)
# project info
set(NDSRVP_HAL_FOUND TRUE CACHE INTERNAL "")
set(NDSRVP_HAL_VERSION "0.0.1" CACHE INTERNAL "")
set(NDSRVP_HAL_LIBRARIES "ndsrvp_hal" CACHE INTERNAL "")
set(NDSRVP_HAL_HEADERS "ndsrvp_hal.hpp" CACHE INTERNAL "")
set(NDSRVP_HAL_INCLUDE_DIRS "${CMAKE_CURRENT_SOURCE_DIR}" CACHE INTERNAL "")
+532
View File
@@ -0,0 +1,532 @@
// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
#ifndef OPENCV_NDSRVP_CORE_HPP
#define OPENCV_NDSRVP_CORE_HPP
namespace cv {
namespace ndsrvp {
template <typename srctype, typename dsttype,
typename vsrctype, typename vdsttype, int nlane,
template <typename src, typename dst> typename operators_t,
typename... params_t>
int elemwise_binop(const srctype* src1_data, size_t src1_step,
const srctype* src2_data, size_t src2_step,
dsttype* dst_data, size_t dst_step,
int width, int height, params_t... params)
{
src1_step /= sizeof(srctype);
src2_step /= sizeof(srctype);
dst_step /= sizeof(dsttype);
operators_t<srctype, dsttype> operators;
int i, j;
for (i = 0; i < height; ++i) {
const srctype* src1_row = src1_data + (src1_step * i);
const srctype* src2_row = src2_data + (src2_step * i);
dsttype* dst_row = dst_data + (dst_step * i);
j = 0;
for (; j + nlane <= width; j += nlane) {
register vsrctype vs1 = *(vsrctype*)(src1_row + j);
register vsrctype vs2 = *(vsrctype*)(src2_row + j);
*(vdsttype*)(dst_row + j) = operators.vector(vs1, vs2, params...);
}
for (; j < width; j++)
dst_row[j] = operators.scalar(src1_row[j], src2_row[j], params...);
}
return CV_HAL_ERROR_OK;
}
template <typename srctype, typename dsttype,
typename vsrctype, typename vdsttype, int nlane,
template <typename src, typename dst> typename operators_t,
typename... params_t>
int elemwise_unop(const srctype* src_data, size_t src_step,
dsttype* dst_data, size_t dst_step,
int width, int height, params_t... params)
{
src_step /= sizeof(srctype);
dst_step /= sizeof(dsttype);
operators_t<srctype, dsttype> operators;
int i, j;
for (i = 0; i < height; ++i) {
const srctype* src_row = src_data + (src_step * i);
dsttype* dst_row = dst_data + (dst_step * i);
j = 0;
for (; j + nlane <= width; j += nlane) {
register vsrctype vs = *(vsrctype*)(src_row + j);
*(vdsttype*)(dst_row + j) = operators.vector(vs, params...);
}
for (; j < width; j++)
dst_row[j] = operators.scalar(src_row[j], params...);
}
return CV_HAL_ERROR_OK;
}
// ################ add ################
template <typename src, typename dst>
struct operators_add_t {
inline uint8x8_t vector(uint8x8_t a, uint8x8_t b) { return __nds__v_ukadd8(a, b); }
inline uchar scalar(uchar a, uchar b) { return __nds__ukadd8(a, b); }
inline int8x8_t vector(int8x8_t a, int8x8_t b) { return __nds__v_kadd8(a, b); }
inline schar scalar(schar a, schar b) { return __nds__kadd8(a, b); }
inline uint16x4_t vector(uint16x4_t a, uint16x4_t b) { return __nds__v_ukadd16(a, b); }
inline ushort scalar(ushort a, ushort b) { return __nds__ukadd16(a, b); }
inline int16x4_t vector(int16x4_t a, int16x4_t b) { return __nds__v_kadd16(a, b); }
inline short scalar(short a, short b) { return __nds__kadd16(a, b); }
inline int32x2_t vector(int32x2_t a, int32x2_t b) { return __nds__v_kadd32(a, b); }
inline int scalar(int a, int b) { return __nds__kadd32(a, b); }
};
#undef cv_hal_add8u
#define cv_hal_add8u (cv::ndsrvp::elemwise_binop<uchar, uchar, uint8x8_t, uint8x8_t, 8, cv::ndsrvp::operators_add_t>)
#undef cv_hal_add8s
#define cv_hal_add8s (cv::ndsrvp::elemwise_binop<schar, schar, int8x8_t, int8x8_t, 8, cv::ndsrvp::operators_add_t>)
#undef cv_hal_add16u
#define cv_hal_add16u (cv::ndsrvp::elemwise_binop<ushort, ushort, uint16x4_t, uint16x4_t, 4, cv::ndsrvp::operators_add_t>)
#undef cv_hal_add16s
#define cv_hal_add16s (cv::ndsrvp::elemwise_binop<short, short, int16x4_t, int16x4_t, 4, cv::ndsrvp::operators_add_t>)
#undef cv_hal_add32s
#define cv_hal_add32s (cv::ndsrvp::elemwise_binop<int, int, int32x2_t, int32x2_t, 2, cv::ndsrvp::operators_add_t>)
// ################ sub ################
template <typename src, typename dst>
struct operators_sub_t {
inline uint8x8_t vector(uint8x8_t a, uint8x8_t b) { return __nds__v_uksub8(a, b); }
inline uchar scalar(uchar a, uchar b) { return __nds__uksub8(a, b); }
inline int8x8_t vector(int8x8_t a, int8x8_t b) { return __nds__v_ksub8(a, b); }
inline schar scalar(schar a, schar b) { return __nds__ksub8(a, b); }
inline uint16x4_t vector(uint16x4_t a, uint16x4_t b) { return __nds__v_uksub16(a, b); }
inline ushort scalar(ushort a, ushort b) { return __nds__uksub16(a, b); }
inline int16x4_t vector(int16x4_t a, int16x4_t b) { return __nds__v_ksub16(a, b); }
inline short scalar(short a, short b) { return __nds__ksub16(a, b); }
inline int32x2_t vector(int32x2_t a, int32x2_t b) { return __nds__v_ksub32(a, b); }
inline int scalar(int a, int b) { return __nds__ksub32(a, b); }
};
#undef cv_hal_sub8u
#define cv_hal_sub8u (cv::ndsrvp::elemwise_binop<uchar, uchar, uint8x8_t, uint8x8_t, 8, cv::ndsrvp::operators_sub_t>)
#undef cv_hal_sub8s
#define cv_hal_sub8s (cv::ndsrvp::elemwise_binop<schar, schar, int8x8_t, int8x8_t, 8, cv::ndsrvp::operators_sub_t>)
#undef cv_hal_sub16u
#define cv_hal_sub16u (cv::ndsrvp::elemwise_binop<ushort, ushort, uint16x4_t, uint16x4_t, 4, cv::ndsrvp::operators_sub_t>)
#undef cv_hal_sub16s
#define cv_hal_sub16s (cv::ndsrvp::elemwise_binop<short, short, int16x4_t, int16x4_t, 4, cv::ndsrvp::operators_sub_t>)
#undef cv_hal_sub32s
#define cv_hal_sub32s (cv::ndsrvp::elemwise_binop<int, int, int32x2_t, int32x2_t, 2, cv::ndsrvp::operators_sub_t>)
// ################ max ################
template <typename src, typename dst>
struct operators_max_t {
inline uint8x8_t vector(uint8x8_t a, uint8x8_t b) { return __nds__v_umax8(a, b); }
inline uchar scalar(uchar a, uchar b) { return __nds__umax8(a, b); }
inline int8x8_t vector(int8x8_t a, int8x8_t b) { return __nds__v_smax8(a, b); }
inline schar scalar(schar a, schar b) { return __nds__smax8(a, b); }
inline uint16x4_t vector(uint16x4_t a, uint16x4_t b) { return __nds__v_umax16(a, b); }
inline ushort scalar(ushort a, ushort b) { return __nds__umax16(a, b); }
inline int16x4_t vector(int16x4_t a, int16x4_t b) { return __nds__v_smax16(a, b); }
inline short scalar(short a, short b) { return __nds__smax16(a, b); }
inline int32x2_t vector(int32x2_t a, int32x2_t b) { return __nds__v_smax32(a, b); }
inline int scalar(int a, int b) { return __nds__smax32(a, b); }
};
#undef cv_hal_max8u
#define cv_hal_max8u (cv::ndsrvp::elemwise_binop<uchar, uchar, uint8x8_t, uint8x8_t, 8, cv::ndsrvp::operators_max_t>)
#undef cv_hal_max8s
#define cv_hal_max8s (cv::ndsrvp::elemwise_binop<schar, schar, int8x8_t, int8x8_t, 8, cv::ndsrvp::operators_max_t>)
#undef cv_hal_max16u
#define cv_hal_max16u (cv::ndsrvp::elemwise_binop<ushort, ushort, uint16x4_t, uint16x4_t, 4, cv::ndsrvp::operators_max_t>)
#undef cv_hal_max16s
#define cv_hal_max16s (cv::ndsrvp::elemwise_binop<short, short, int16x4_t, int16x4_t, 4, cv::ndsrvp::operators_max_t>)
#undef cv_hal_max32s
#define cv_hal_max32s (cv::ndsrvp::elemwise_binop<int, int, int32x2_t, int32x2_t, 2, cv::ndsrvp::operators_max_t>)
// ################ min ################
template <typename src, typename dst>
struct operators_min_t {
inline uint8x8_t vector(uint8x8_t a, uint8x8_t b) { return __nds__v_umin8(a, b); }
inline uchar scalar(uchar a, uchar b) { return __nds__umin8(a, b); }
inline int8x8_t vector(int8x8_t a, int8x8_t b) { return __nds__v_smin8(a, b); }
inline schar scalar(schar a, schar b) { return __nds__smin8(a, b); }
inline uint16x4_t vector(uint16x4_t a, uint16x4_t b) { return __nds__v_umin16(a, b); }
inline ushort scalar(ushort a, ushort b) { return __nds__umin16(a, b); }
inline int16x4_t vector(int16x4_t a, int16x4_t b) { return __nds__v_smin16(a, b); }
inline short scalar(short a, short b) { return __nds__smin16(a, b); }
inline int32x2_t vector(int32x2_t a, int32x2_t b) { return __nds__v_smin32(a, b); }
inline int scalar(int a, int b) { return __nds__smin32(a, b); }
};
#undef cv_hal_min8u
#define cv_hal_min8u (cv::ndsrvp::elemwise_binop<uchar, uchar, uint8x8_t, uint8x8_t, 8, cv::ndsrvp::operators_min_t>)
#undef cv_hal_min8s
#define cv_hal_min8s (cv::ndsrvp::elemwise_binop<schar, schar, int8x8_t, int8x8_t, 8, cv::ndsrvp::operators_min_t>)
#undef cv_hal_min16u
#define cv_hal_min16u (cv::ndsrvp::elemwise_binop<ushort, ushort, uint16x4_t, uint16x4_t, 4, cv::ndsrvp::operators_min_t>)
#undef cv_hal_min16s
#define cv_hal_min16s (cv::ndsrvp::elemwise_binop<short, short, int16x4_t, int16x4_t, 4, cv::ndsrvp::operators_min_t>)
#undef cv_hal_min32s
#define cv_hal_min32s (cv::ndsrvp::elemwise_binop<int, int, int32x2_t, int32x2_t, 2, cv::ndsrvp::operators_min_t>)
// ################ absdiff ################
template <typename src, typename dst>
struct operators_absdiff_t {
inline uint8x8_t vector(uint8x8_t a, uint8x8_t b) { return __nds__v_uksub8(__nds__v_umax8(a, b), __nds__v_umin8(a, b)); }
inline uchar scalar(uchar a, uchar b) { return __nds__uksub8(__nds__umax8(a, b), __nds__umin8(a, b)); }
inline int8x8_t vector(int8x8_t a, int8x8_t b) { return __nds__v_ksub8(__nds__v_smax8(a, b), __nds__v_smin8(a, b)); }
inline schar scalar(schar a, schar b) { return __nds__ksub8(__nds__smax8(a, b), __nds__smin8(a, b)); }
inline uint16x4_t vector(uint16x4_t a, uint16x4_t b) { return __nds__v_uksub16(__nds__v_umax16(a, b), __nds__v_umin16(a, b)); }
inline ushort scalar(ushort a, ushort b) { return __nds__uksub16(__nds__umax16(a, b), __nds__umin16(a, b)); }
inline int16x4_t vector(int16x4_t a, int16x4_t b) { return __nds__v_ksub16(__nds__v_smax16(a, b), __nds__v_smin16(a, b)); }
inline short scalar(short a, short b) { return __nds__ksub16(__nds__smax16(a, b), __nds__smin16(a, b)); }
inline int32x2_t vector(int32x2_t a, int32x2_t b) { return __nds__v_ksub32(__nds__v_smax32(a, b), __nds__v_smin32(a, b)); }
inline int scalar(int a, int b) { return __nds__ksub32(__nds__smax32(a, b), __nds__smin32(a, b)); }
};
#undef cv_hal_absdiff8u
#define cv_hal_absdiff8u (cv::ndsrvp::elemwise_binop<uchar, uchar, uint8x8_t, uint8x8_t, 8, cv::ndsrvp::operators_absdiff_t>)
#undef cv_hal_absdiff8s
#define cv_hal_absdiff8s (cv::ndsrvp::elemwise_binop<schar, schar, int8x8_t, int8x8_t, 8, cv::ndsrvp::operators_absdiff_t>)
#undef cv_hal_absdiff16u
#define cv_hal_absdiff16u (cv::ndsrvp::elemwise_binop<ushort, ushort, uint16x4_t, uint16x4_t, 4, cv::ndsrvp::operators_absdiff_t>)
#undef cv_hal_absdiff16s
#define cv_hal_absdiff16s (cv::ndsrvp::elemwise_binop<short, short, int16x4_t, int16x4_t, 4, cv::ndsrvp::operators_absdiff_t>)
#undef cv_hal_absdiff32s
#define cv_hal_absdiff32s (cv::ndsrvp::elemwise_binop<int, int, int32x2_t, int32x2_t, 2, cv::ndsrvp::operators_absdiff_t>)
// ################ bitwise ################
template <typename src, typename dst>
struct operators_and_t {
inline uint8x8_t vector(uint8x8_t a, uint8x8_t b) { return a & b; }
inline uchar scalar(uchar a, uchar b) { return a & b; }
};
#undef cv_hal_and8u
#define cv_hal_and8u (cv::ndsrvp::elemwise_binop<uchar, uchar, uint8x8_t, uint8x8_t, 8, cv::ndsrvp::operators_and_t>)
template <typename src, typename dst>
struct operators_or_t {
inline uint8x8_t vector(uint8x8_t a, uint8x8_t b) { return a | b; }
inline uchar scalar(uchar a, uchar b) { return a | b; }
};
#undef cv_hal_or8u
#define cv_hal_or8u (cv::ndsrvp::elemwise_binop<uchar, uchar, uint8x8_t, uint8x8_t, 8, cv::ndsrvp::operators_or_t>)
template <typename src, typename dst>
struct operators_xor_t {
inline uint8x8_t vector(uint8x8_t a, uint8x8_t b) { return a ^ b; }
inline uchar scalar(uchar a, uchar b) { return a ^ b; }
};
#undef cv_hal_xor8u
#define cv_hal_xor8u (cv::ndsrvp::elemwise_binop<uchar, uchar, uint8x8_t, uint8x8_t, 8, cv::ndsrvp::operators_xor_t>)
template <typename src, typename dst>
struct operators_not_t {
inline uint8x8_t vector(uint8x8_t a) { return ~a; }
inline uchar scalar(uchar a) { return ~a; }
};
#undef cv_hal_not8u
#define cv_hal_not8u (cv::ndsrvp::elemwise_unop<uchar, uchar, uint8x8_t, uint8x8_t, 8, cv::ndsrvp::operators_not_t>)
// ################ cmp ################
template <typename src, typename dst>
struct operators_cmp_t {
inline uint8x8_t vector(uint8x8_t a, uint8x8_t b, int operation)
{
switch (operation) {
case CV_HAL_CMP_EQ:
return __nds__v_ucmpeq8(a, b);
case CV_HAL_CMP_GT:
return __nds__v_ucmplt8(b, a);
case CV_HAL_CMP_GE:
return __nds__v_ucmple8(b, a);
case CV_HAL_CMP_LT:
return __nds__v_ucmplt8(a, b);
case CV_HAL_CMP_LE:
return __nds__v_ucmple8(a, b);
case CV_HAL_CMP_NE:
return ~__nds__v_ucmpeq8(a, b);
default:
return uint8x8_t();
}
}
inline uchar scalar(uchar a, uchar b, int operation)
{
switch (operation) {
case CV_HAL_CMP_EQ:
return __nds__cmpeq8(a, b);
case CV_HAL_CMP_GT:
return __nds__ucmplt8(b, a);
case CV_HAL_CMP_GE:
return __nds__ucmple8(b, a);
case CV_HAL_CMP_LT:
return __nds__ucmplt8(a, b);
case CV_HAL_CMP_LE:
return __nds__ucmple8(a, b);
case CV_HAL_CMP_NE:
return ~__nds__cmpeq8(a, b);
default:
return 0;
}
}
inline uint8x8_t vector(int8x8_t a, int8x8_t b, int operation)
{
switch (operation) {
case CV_HAL_CMP_EQ:
return __nds__v_scmpeq8(a, b);
case CV_HAL_CMP_GT:
return __nds__v_scmplt8(b, a);
case CV_HAL_CMP_GE:
return __nds__v_scmple8(b, a);
case CV_HAL_CMP_LT:
return __nds__v_scmplt8(a, b);
case CV_HAL_CMP_LE:
return __nds__v_scmple8(a, b);
case CV_HAL_CMP_NE:
return ~__nds__v_scmpeq8(a, b);
default:
return uint8x8_t();
}
}
inline uchar scalar(schar a, schar b, int operation)
{
switch (operation) {
case CV_HAL_CMP_EQ:
return __nds__cmpeq8(a, b);
case CV_HAL_CMP_GT:
return __nds__scmplt8(b, a);
case CV_HAL_CMP_GE:
return __nds__scmple8(b, a);
case CV_HAL_CMP_LT:
return __nds__scmplt8(a, b);
case CV_HAL_CMP_LE:
return __nds__scmple8(a, b);
case CV_HAL_CMP_NE:
return ~__nds__cmpeq8(a, b);
default:
return 0;
}
}
inline uint8x4_t vector(uint16x4_t a, uint16x4_t b, int operation)
{
register unsigned long cmp;
switch (operation) {
case CV_HAL_CMP_EQ:
cmp = (unsigned long)__nds__v_ucmpeq16(a, b) >> 8;
break;
case CV_HAL_CMP_GT:
cmp = (unsigned long)__nds__v_ucmplt16(b, a) >> 8;
break;
case CV_HAL_CMP_GE:
cmp = (unsigned long)__nds__v_ucmple16(b, a) >> 8;
break;
case CV_HAL_CMP_LT:
cmp = (unsigned long)__nds__v_ucmplt16(a, b) >> 8;
break;
case CV_HAL_CMP_LE:
cmp = (unsigned long)__nds__v_ucmple16(a, b) >> 8;
break;
case CV_HAL_CMP_NE:
cmp = ~(unsigned long)__nds__v_ucmpeq16(a, b) >> 8;
break;
default:
return uint8x4_t();
}
return (uint8x4_t)(unsigned int)__nds__pkbb16(cmp >> 32, cmp);
}
inline uchar scalar(ushort a, ushort b, int operation)
{
switch (operation) {
case CV_HAL_CMP_EQ:
return __nds__cmpeq16(a, b);
case CV_HAL_CMP_GT:
return __nds__ucmplt16(b, a);
case CV_HAL_CMP_GE:
return __nds__ucmple16(b, a);
case CV_HAL_CMP_LT:
return __nds__ucmplt16(a, b);
case CV_HAL_CMP_LE:
return __nds__ucmple16(a, b);
case CV_HAL_CMP_NE:
return ~__nds__cmpeq16(a, b);
default:
return 0;
}
}
inline uint8x4_t vector(int16x4_t a, int16x4_t b, int operation)
{
register unsigned long cmp;
switch (operation) {
case CV_HAL_CMP_EQ:
cmp = (unsigned long)__nds__v_scmpeq16(a, b) >> 8;
break;
case CV_HAL_CMP_GT:
cmp = (unsigned long)__nds__v_scmplt16(b, a) >> 8;
break;
case CV_HAL_CMP_GE:
cmp = (unsigned long)__nds__v_scmple16(b, a) >> 8;
break;
case CV_HAL_CMP_LT:
cmp = (unsigned long)__nds__v_scmplt16(a, b) >> 8;
break;
case CV_HAL_CMP_LE:
cmp = (unsigned long)__nds__v_scmple16(a, b) >> 8;
break;
case CV_HAL_CMP_NE:
cmp = ~(unsigned long)__nds__v_scmpeq16(a, b) >> 8;
break;
default:
return uint8x4_t();
}
return (uint8x4_t)(unsigned int)__nds__pkbb16(cmp >> 32, cmp);
}
inline uchar scalar(short a, short b, int operation)
{
switch (operation) {
case CV_HAL_CMP_EQ:
return __nds__cmpeq16(a, b);
case CV_HAL_CMP_GT:
return __nds__scmplt16(b, a);
case CV_HAL_CMP_GE:
return __nds__scmple16(b, a);
case CV_HAL_CMP_LT:
return __nds__scmplt16(a, b);
case CV_HAL_CMP_LE:
return __nds__scmple16(a, b);
case CV_HAL_CMP_NE:
return ~__nds__cmpeq16(a, b);
default:
return 0;
}
}
};
#undef cv_hal_cmp8u
#define cv_hal_cmp8u (cv::ndsrvp::elemwise_binop<uchar, uchar, uint8x8_t, uint8x8_t, 8, cv::ndsrvp::operators_cmp_t>)
#undef cv_hal_cmp8s
#define cv_hal_cmp8s (cv::ndsrvp::elemwise_binop<schar, uchar, int8x8_t, uint8x8_t, 8, cv::ndsrvp::operators_cmp_t>)
#undef cv_hal_cmp16u
#define cv_hal_cmp16u (cv::ndsrvp::elemwise_binop<ushort, uchar, uint16x4_t, uint8x4_t, 4, cv::ndsrvp::operators_cmp_t>)
#undef cv_hal_cmp16s
#define cv_hal_cmp16s (cv::ndsrvp::elemwise_binop<short, uchar, int16x4_t, uint8x4_t, 4, cv::ndsrvp::operators_cmp_t>)
// ################ split ################
/*template <typename srctype, typename vsrctype, int nlane>
int split(const srctype* src_data, srctype** dst_data, int len, int cn)
{
int i, j;
for (i = 0; i < len; i++) {
for (j = 0; j < cn; j++) {
dst_data[j][i] = src_data[i * cn + j];
}
}
return CV_HAL_ERROR_OK;
}
#undef cv_hal_split8u
#define cv_hal_split8u (cv::ndsrvp::split<uchar, uint8x8_t, 8>)
#undef cv_hal_split16u
#define cv_hal_split16u (cv::ndsrvp::split<ushort, uint16x4_t, 4>)
#undef cv_hal_split32s
#define cv_hal_split32s (cv::ndsrvp::split<int, int32x2_t, 2>)*/
// ################ merge ################
/*template <typename srctype, typename vsrctype, int nlane>
int merge(const srctype** src_data, srctype* dst_data, int len, int cn)
{
int i, j;
for (i = 0; i < len; i++) {
for (j = 0; j < cn; j++) {
dst_data[i * cn + j] = src_data[j][i];
}
}
return CV_HAL_ERROR_OK;
}
#undef cv_hal_merge8u
#define cv_hal_merge8u (cv::ndsrvp::merge<uchar, uint8x8_t, 8>)
#undef cv_hal_merge16u
#define cv_hal_merge16u (cv::ndsrvp::merge<ushort, uint16x4_t, 4>)
#undef cv_hal_merge32s
#define cv_hal_merge32s (cv::ndsrvp::merge<int, int32x2_t, 2>)*/
} // namespace ndsrvp
} // namespace cv
#endif
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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
#ifndef OPENCV_NDSRVP_FEATURES2D_HPP
#define OPENCV_NDSRVP_FEATURES2D_HPP
#endif
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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
#ifndef OPENCV_NDSRVP_IMGPROC_HPP
#define OPENCV_NDSRVP_IMGPROC_HPP
struct cvhalFilter2D;
namespace cv {
namespace ndsrvp {
enum InterpolationMasks {
INTER_BITS = 5,
INTER_BITS2 = INTER_BITS * 2,
INTER_TAB_SIZE = 1 << INTER_BITS,
INTER_TAB_SIZE2 = INTER_TAB_SIZE * INTER_TAB_SIZE
};
// ################ integral ################
int integral(int depth, int sdepth, int sqdepth,
const uchar* src, size_t _srcstep,
uchar* sum, size_t _sumstep,
uchar* sqsum, size_t,
uchar* tilted, size_t,
int width, int height, int cn);
#undef cv_hal_integral
#define cv_hal_integral (cv::ndsrvp::integral)
// ################ warpAffine ################
int warpAffineBlocklineNN(int *adelta, int *bdelta, short* xy, int X0, int Y0, int bw);
#undef cv_hal_warpAffineBlocklineNN
#define cv_hal_warpAffineBlocklineNN (cv::ndsrvp::warpAffineBlocklineNN)
int warpAffineBlockline(int *adelta, int *bdelta, short* xy, short* alpha, int X0, int Y0, int bw);
#undef cv_hal_warpAffineBlockline
#define cv_hal_warpAffineBlockline (cv::ndsrvp::warpAffineBlockline)
// ################ warpPerspective ################
int warpPerspectiveBlocklineNN(const double *M, short* xy, double X0, double Y0, double W0, int bw);
#undef cv_hal_warpPerspectiveBlocklineNN
#define cv_hal_warpPerspectiveBlocklineNN (cv::ndsrvp::warpPerspectiveBlocklineNN)
int warpPerspectiveBlockline(const double *M, short* xy, short* alpha, double X0, double Y0, double W0, int bw);
#undef cv_hal_warpPerspectiveBlockline
#define cv_hal_warpPerspectiveBlockline (cv::ndsrvp::warpPerspectiveBlockline)
// ################ remap ################
int remap32f(int src_type, const uchar *src_data, size_t src_step, int src_width, int src_height,
uchar *dst_data, size_t dst_step, int dst_width, int dst_height, float* mapx, size_t mapx_step,
float* mapy, size_t mapy_step, int interpolation, int border_type, const double border_value[4]);
#undef cv_hal_remap32f
#define cv_hal_remap32f (cv::ndsrvp::remap32f)
// ################ threshold ################
int threshold(const uchar* src_data, size_t src_step,
uchar* dst_data, size_t dst_step,
int width, int height, int depth, int cn,
double thresh, double maxValue, int thresholdType);
#undef cv_hal_threshold
#define cv_hal_threshold (cv::ndsrvp::threshold)
// ################ filter ################
int filterInit(cvhalFilter2D **context,
uchar *kernel_data, size_t kernel_step,
int kernel_type, int kernel_width,
int kernel_height, int max_width, int max_height,
int src_type, int dst_type, int borderType,
double delta, int anchor_x, int anchor_y,
bool allowSubmatrix, bool allowInplace);
#undef cv_hal_filterInit
#define cv_hal_filterInit (cv::ndsrvp::filterInit)
int filter(cvhalFilter2D *context,
const uchar *src_data, size_t src_step,
uchar *dst_data, size_t dst_step,
int width, int height,
int full_width, int full_height,
int offset_x, int offset_y);
#undef cv_hal_filter
#define cv_hal_filter (cv::ndsrvp::filter)
int filterFree(cvhalFilter2D *context);
#undef cv_hal_filterFree
#define cv_hal_filterFree (cv::ndsrvp::filterFree)
// ################ medianBlur ################
int medianBlur(const uchar* src_data, size_t src_step,
uchar* dst_data, size_t dst_step,
int width, int height, int depth, int cn, int ksize);
#undef cv_hal_medianBlur
#define cv_hal_medianBlur (cv::ndsrvp::medianBlur)
// ################ bilateralFilter ################
int bilateralFilter(const uchar* src_data, size_t src_step,
uchar* dst_data, size_t dst_step, int width, int height, int depth,
int cn, int d, double sigma_color, double sigma_space, int border_type);
#undef cv_hal_bilateralFilter
#define cv_hal_bilateralFilter (cv::ndsrvp::bilateralFilter)
} // namespace ndsrvp
} // namespace cv
#endif
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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
#ifndef OPENCV_NDSRVP_HAL_HPP
#define OPENCV_NDSRVP_HAL_HPP
#include <nds_intrinsic.h>
#include "opencv2/core/hal/interface.h"
#include "include/core.hpp"
#include "include/imgproc.hpp"
#include "include/features2d.hpp"
#endif
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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
#include "ndsrvp_hal.hpp"
#include "opencv2/imgproc/hal/interface.h"
#include "cvutils.hpp"
namespace cv {
namespace ndsrvp {
static void bilateralFilterProcess(uchar* dst_data, size_t dst_step, uchar* pad_data, size_t pad_step,
int width, int height, int cn, int radius, int maxk,
int* space_ofs, float *space_weight, float *color_weight)
{
int i, j, k;
for( i = 0; i < height; i++ )
{
const uchar* sptr = pad_data + (i + radius) * pad_step + radius * cn;
uchar* dptr = dst_data + i * dst_step;
if( cn == 1 )
{
std::vector<float> buf(width + width, 0.0);
float *sum = &buf[0];
float *wsum = sum + width;
k = 0;
for(; k <= maxk-4; k+=4)
{
const uchar* ksptr0 = sptr + space_ofs[k];
const uchar* ksptr1 = sptr + space_ofs[k+1];
const uchar* ksptr2 = sptr + space_ofs[k+2];
const uchar* ksptr3 = sptr + space_ofs[k+3];
j = 0;
for (; j < width; j++)
{
int rval = sptr[j];
int val = ksptr0[j];
float w = space_weight[k] * color_weight[std::abs(val - rval)];
wsum[j] += w;
sum[j] += val * w;
val = ksptr1[j];
w = space_weight[k+1] * color_weight[std::abs(val - rval)];
wsum[j] += w;
sum[j] += val * w;
val = ksptr2[j];
w = space_weight[k+2] * color_weight[std::abs(val - rval)];
wsum[j] += w;
sum[j] += val * w;
val = ksptr3[j];
w = space_weight[k+3] * color_weight[std::abs(val - rval)];
wsum[j] += w;
sum[j] += val * w;
}
}
for(; k < maxk; k++)
{
const uchar* ksptr = sptr + space_ofs[k];
j = 0;
for (; j < width; j++)
{
int val = ksptr[j];
float w = space_weight[k] * color_weight[std::abs(val - sptr[j])];
wsum[j] += w;
sum[j] += val * w;
}
}
j = 0;
for (; j < width; j++)
{
// overflow is not possible here => there is no need to use cv::saturate_cast
ndsrvp_assert(fabs(wsum[j]) > 0);
dptr[j] = (uchar)(sum[j] / wsum[j] + 0.5);
}
}
else
{
ndsrvp_assert( cn == 3 );
std::vector<float> buf(width * 3 + width);
float *sum_b = &buf[0];
float *sum_g = sum_b + width;
float *sum_r = sum_g + width;
float *wsum = sum_r + width;
k = 0;
for(; k <= maxk-4; k+=4)
{
const uchar* ksptr0 = sptr + space_ofs[k];
const uchar* ksptr1 = sptr + space_ofs[k+1];
const uchar* ksptr2 = sptr + space_ofs[k+2];
const uchar* ksptr3 = sptr + space_ofs[k+3];
const uchar* rsptr = sptr;
j = 0;
for(; j < width; j++, rsptr += 3, ksptr0 += 3, ksptr1 += 3, ksptr2 += 3, ksptr3 += 3)
{
int rb = rsptr[0], rg = rsptr[1], rr = rsptr[2];
int b = ksptr0[0], g = ksptr0[1], r = ksptr0[2];
float w = space_weight[k] * color_weight[std::abs(b - rb) + std::abs(g - rg) + std::abs(r - rr)];
wsum[j] += w;
sum_b[j] += b * w; sum_g[j] += g * w; sum_r[j] += r * w;
b = ksptr1[0]; g = ksptr1[1]; r = ksptr1[2];
w = space_weight[k+1] * color_weight[std::abs(b - rb) + std::abs(g - rg) + std::abs(r - rr)];
wsum[j] += w;
sum_b[j] += b * w; sum_g[j] += g * w; sum_r[j] += r * w;
b = ksptr2[0]; g = ksptr2[1]; r = ksptr2[2];
w = space_weight[k+2] * color_weight[std::abs(b - rb) + std::abs(g - rg) + std::abs(r - rr)];
wsum[j] += w;
sum_b[j] += b * w; sum_g[j] += g * w; sum_r[j] += r * w;
b = ksptr3[0]; g = ksptr3[1]; r = ksptr3[2];
w = space_weight[k+3] * color_weight[std::abs(b - rb) + std::abs(g - rg) + std::abs(r - rr)];
wsum[j] += w;
sum_b[j] += b * w; sum_g[j] += g * w; sum_r[j] += r * w;
}
}
for(; k < maxk; k++)
{
const uchar* ksptr = sptr + space_ofs[k];
const uchar* rsptr = sptr;
j = 0;
for(; j < width; j++, ksptr += 3, rsptr += 3)
{
int b = ksptr[0], g = ksptr[1], r = ksptr[2];
float w = space_weight[k] * color_weight[std::abs(b - rsptr[0]) + std::abs(g - rsptr[1]) + std::abs(r - rsptr[2])];
wsum[j] += w;
sum_b[j] += b * w; sum_g[j] += g * w; sum_r[j] += r * w;
}
}
j = 0;
for(; j < width; j++)
{
ndsrvp_assert(fabs(wsum[j]) > 0);
wsum[j] = 1.f / wsum[j];
*(dptr++) = (uchar)(sum_b[j] * wsum[j] + 0.5);
*(dptr++) = (uchar)(sum_g[j] * wsum[j] + 0.5);
*(dptr++) = (uchar)(sum_r[j] * wsum[j] + 0.5);
}
}
}
}
int bilateralFilter(const uchar* src_data, size_t src_step,
uchar* dst_data, size_t dst_step, int width, int height, int depth,
int cn, int d, double sigma_color, double sigma_space, int border_type)
{
if( depth != CV_8U || !(cn == 1 || cn == 3) || src_data == dst_data)
return CV_HAL_ERROR_NOT_IMPLEMENTED;
int i, j, maxk, radius;
if( sigma_color <= 0 )
sigma_color = 1;
if( sigma_space <= 0 )
sigma_space = 1;
double gauss_color_coeff = -0.5/(sigma_color * sigma_color);
double gauss_space_coeff = -0.5/(sigma_space * sigma_space);
if( d <= 0 )
radius = (int)(sigma_space * 1.5 + 0.5);
else
radius = d / 2;
radius = MAX(radius, 1);
d = radius * 2 + 1;
// no enough submatrix info
// fetch original image data
const uchar *ogn_data = src_data;
int ogn_step = src_step;
// ROI fully used in the computation
int cal_width = width + d - 1;
int cal_height = height + d - 1;
int cal_x = 0 - radius; // negative if left border exceeded
int cal_y = 0 - radius; // negative if top border exceeded
// calculate source border
std::vector<uchar> padding;
padding.resize(cal_width * cal_height * cn);
uchar* pad_data = &padding[0];
int pad_step = cal_width * cn;
uchar* pad_ptr;
const uchar* ogn_ptr;
std::vector<uchar> vec_zeros(cn, 0);
for(i = 0; i < cal_height; i++)
{
int y = borderInterpolate(i + cal_y, height, border_type);
if(y < 0) {
memset(pad_data + i * pad_step, 0, cn * cal_width);
continue;
}
// left border
j = 0;
for(; j + cal_x < 0; j++)
{
int x = borderInterpolate(j + cal_x, width, border_type);
if(x < 0) // border constant return value -1
ogn_ptr = &vec_zeros[0];
else
ogn_ptr = ogn_data + y * ogn_step + x * cn;
pad_ptr = pad_data + i * pad_step + j * cn;
memcpy(pad_ptr, ogn_ptr, cn);
}
// center
int rborder = MIN(cal_width, width - cal_x);
ogn_ptr = ogn_data + y * ogn_step + (j + cal_x) * cn;
pad_ptr = pad_data + i * pad_step + j * cn;
memcpy(pad_ptr, ogn_ptr, cn * (rborder - j));
// right border
j = rborder;
for(; j < cal_width; j++)
{
int x = borderInterpolate(j + cal_x, width, border_type);
if(x < 0) // border constant return value -1
ogn_ptr = &vec_zeros[0];
else
ogn_ptr = ogn_data + y * ogn_step + x * cn;
pad_ptr = pad_data + i * pad_step + j * cn;
memcpy(pad_ptr, ogn_ptr, cn);
}
}
std::vector<float> _color_weight(cn * 256);
std::vector<float> _space_weight(d * d);
std::vector<int> _space_ofs(d * d);
float* color_weight = &_color_weight[0];
float* space_weight = &_space_weight[0];
int* space_ofs = &_space_ofs[0];
// initialize color-related bilateral filter coefficients
for( i = 0; i < 256 * cn; i++ )
color_weight[i] = (float)std::exp(i * i * gauss_color_coeff);
// initialize space-related bilateral filter coefficients
for( i = -radius, maxk = 0; i <= radius; i++ )
{
j = -radius;
for( ; j <= radius; j++ )
{
double r = std::sqrt((double)i * i + (double)j * j);
if( r > radius )
continue;
space_weight[maxk] = (float)std::exp(r * r * gauss_space_coeff);
space_ofs[maxk++] = (int)(i * pad_step + j * cn);
}
}
bilateralFilterProcess(dst_data, dst_step, pad_data, pad_step, width, height, cn, radius, maxk, space_ofs, space_weight, color_weight);
return CV_HAL_ERROR_OK;
}
} // namespace ndsrvp
} // namespace cv
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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
#include "cvutils.hpp"
namespace cv {
namespace ndsrvp {
// fastMalloc
// [0][1][2][3][4][5][6][7][8][9]
// ^udata
// ^adata
// ^adata[-1] == udata
void* fastMalloc(size_t size)
{
uchar* udata = (uchar*)malloc(size + sizeof(void*) + CV_MALLOC_ALIGN);
if(!udata)
ndsrvp_error(Error::StsNoMem, "fastMalloc(): Not enough memory");
uchar** adata = (uchar**)align((size_t)((uchar**)udata + 1), CV_MALLOC_ALIGN);
adata[-1] = udata;
return adata;
}
void fastFree(void* ptr)
{
if(ptr)
{
uchar* udata = ((uchar**)ptr)[-1];
if(!(udata < (uchar*)ptr && ((uchar*)ptr - udata) <= (ptrdiff_t)(sizeof(void*) + CV_MALLOC_ALIGN)))
ndsrvp_error(Error::StsBadArg, "fastFree(): Invalid memory block");
free(udata);
}
}
// borderInterpolate
int borderInterpolate(int p, int len, int borderType)
{
if( (unsigned)p < (unsigned)len )
;
else if( borderType == CV_HAL_BORDER_REPLICATE )
p = p < 0 ? 0 : len - 1;
else if( borderType == CV_HAL_BORDER_REFLECT || borderType == CV_HAL_BORDER_REFLECT_101 )
{
int delta = borderType == CV_HAL_BORDER_REFLECT_101;
if( len == 1 )
return 0;
do
{
if( p < 0 )
p = -p - 1 + delta;
else
p = len - 1 - (p - len) - delta;
}
while( (unsigned)p >= (unsigned)len );
}
else if( borderType == CV_HAL_BORDER_WRAP )
{
ndsrvp_assert(len > 0);
if( p < 0 )
p -= ((p - len + 1) / len) * len;
if( p >= len )
p %= len;
}
else if( borderType == CV_HAL_BORDER_CONSTANT )
p = -1;
else
ndsrvp_error(Error::StsBadArg, "borderInterpolate(): Unknown/unsupported border type");
return p;
}
int16x4_t borderInterpolate_vector(int16x4_t vp, short len, int borderType)
{
int16x4_t vzero = (int16x4_t){0, 0, 0, 0};
int16x4_t vone = (int16x4_t){1, 1, 1, 1};
int16x4_t vlen = (int16x4_t){len, len, len, len};
if(borderType == CV_HAL_BORDER_REPLICATE)
vp = (int16x4_t)__nds__bpick(0, __nds__bpick((long)(vlen - 1), (long)vp, (long)(vp >= vlen)), (long)(vp < 0));
else if(borderType == CV_HAL_BORDER_REFLECT || borderType == CV_HAL_BORDER_REFLECT_101)
{
int16x4_t vdelta = (borderType == CV_HAL_BORDER_REFLECT_101) ? vone : vzero;
if(len == 1)
return vzero;
do
{
int16x4_t vneg = -vp - 1 + vdelta;
int16x4_t vpos = vlen - 1 - (vp - vlen) - vdelta;
vp = (int16x4_t)__nds__bpick((long)vneg, __nds__bpick((long)vpos, (long)vp, (long)(vp >= vlen)), (long)(vp < 0));
}
while( (long)(vp >= vlen) || (long)(vp < 0) );
}
else if(borderType == CV_HAL_BORDER_WRAP)
{
ndsrvp_assert(len > 0);
int16x4_t vneg = vp - ((vp - vlen + 1) / vlen) * vlen;
int16x4_t vpos = vp % vlen;
vp = (int16x4_t)__nds__bpick((long)vneg, __nds__bpick((long)vpos, (long)vp, (long)(vp >= vlen)), (long)(vp < 0));
}
else if(borderType == CV_HAL_BORDER_CONSTANT)
vp = (int16x4_t)__nds__bpick((long)-vone, (long)vp, (long)(vp < 0 || vp >= vlen));
else
ndsrvp_error(Error::StsBadArg, "borderInterpolate_vector(): Unknown/unsupported border type");
return vp;
}
} // namespace ndsrvp
} // namespace cv
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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
#ifndef OPENCV_NDSRVP_CVUTILS_HPP
#define OPENCV_NDSRVP_CVUTILS_HPP
#include <nds_intrinsic.h>
#include "opencv2/core/hal/interface.h"
#include <cstring>
#include <cmath>
#include <iostream>
#include <string>
#include <array>
#include <vector>
#include <climits>
#include <algorithm>
// misc functions that not exposed to public interface
namespace cv {
namespace ndsrvp {
void* fastMalloc(size_t size);
void fastFree(void* ptr);
int borderInterpolate(int p, int len, int borderType);
int16x4_t borderInterpolate_vector(int16x4_t vp, short len, int borderType);
#ifndef MAX
# define MAX(a,b) ((a) < (b) ? (b) : (a))
#endif
#ifndef MIN
# define MIN(a,b) ((a) > (b) ? (b) : (a))
#endif
#define CV_MAT_CN_MASK ((CV_CN_MAX - 1) << CV_CN_SHIFT)
#define CV_MAT_CN(flags) ((((flags) & CV_MAT_CN_MASK) >> CV_CN_SHIFT) + 1)
#define CV_ELEM_SIZE1(type) ((0x28442211 >> CV_MAT_DEPTH(type)*4) & 15)
#define CV_ELEM_SIZE(type) (CV_MAT_CN(type)*CV_ELEM_SIZE1(type))
#define CV_MALLOC_ALIGN 64
inline size_t getElemSize(int type) { return (size_t)CV_ELEM_SIZE(type); }
// error codes
enum Error{
StsNoMem = -4,
StsBadArg = -5,
StsAssert = -215
};
// output error
#define ndsrvp_assert(expr) { if(!(expr)) ndsrvp_error(Error::StsAssert, std::string(#expr)); }
inline void ndsrvp_error(int code, std::string msg = "")
{
std::cerr << "NDSRVP Error: code " << code << std::endl;
if(!msg.empty())
std::cerr << msg << std::endl;
if(code < 0)
throw code;
}
// clip & vclip
inline int clip(int x, int a, int b)
{
return x >= a ? (x < b ? x : b - 1) : a;
}
inline int32x2_t vclip(int32x2_t x, int32x2_t a, int32x2_t b)
{
return (int32x2_t)__nds__bpick((long)a, __nds__bpick((long)(b - 1), (long)x, (long)(x < b)), (long)(x >= a));
}
// expand
/*
[0] [1] [2] [3] [4] [5] [6] [7]
810 [ 0 ] [ 1 ] [ 4 ] [ 5 ]
832 [ 2 ] [ 3 ] [ 6 ] [ 7 ]
bb [ 0 ] [ 1 ] [ 2 ] [ 3 ]
tt [ 4 ] [ 5 ] [ 6 ] [ 7 ]
*/
inline void ndsrvp_u8_u16_expand8(const unsigned long vs, ushort* dst)
{
unsigned long vs810 = __nds__zunpkd810(vs);
unsigned long vs832 = __nds__zunpkd832(vs);
*(unsigned long*)dst = __nds__pkbb32(vs832, vs810);
*(unsigned long*)(dst + 4) = __nds__pktt32(vs832, vs810);
}
/*
[0] [1] [2] [3] [4] [5] [6] [7]
820 [ 0 ] [ 2 ] [ 4 ] [ 6 ]
831 [ 1 ] [ 3 ] [ 5 ] [ 7 ]
bb [ 0 ] [ 2 ] [ 1 ] [ 3 ]
tt [ 4 ] [ 6 ] [ 5 ] [ 7 ]
*/
inline void ndsrvp_u8_u16_eswap8(const unsigned long vs, ushort* dst)
{
unsigned long vs820 = __nds__zunpkd820(vs);
unsigned long vs831 = __nds__zunpkd831(vs);
*(unsigned long*)dst = __nds__pkbb32(vs831, vs820);
*(unsigned long*)(dst + 4) = __nds__pktt32(vs831, vs820);
}
/*
[0] [1] [2] [3] [4] [5] [6] [7]
820 [ 0 ] [ 2 ] [ 4 ] [ 6 ]
831 [ 1 ] [ 3 ] [ 5 ] [ 7 ]
bb [ 0 ] [ 2 ] [ 1 ] [ 3 ]
tt [ 4 ] [ 6 ] [ 5 ] [ 7 ]
bbbb[ 0 ] [ 1 ]
bbtt[ 2 ] [ 3 ]
ttbb[ 4 ] [ 5 ]
tttt[ 6 ] [ 7 ]
*/
inline void ndsrvp_u8_u32_expand8(const unsigned long vs, uint* dst)
{
unsigned long vs820 = __nds__zunpkd820(vs);
unsigned long vs831 = __nds__zunpkd831(vs);
unsigned long vsbb = __nds__pkbb32(vs831, vs820);
unsigned long vstt = __nds__pktt32(vs831, vs820);
*(unsigned long*)dst = __nds__pkbb16(0, vsbb);
*(unsigned long*)(dst + 2) = __nds__pktt16(0, vsbb);
*(unsigned long*)(dst + 4) = __nds__pkbb16(0, vstt);
*(unsigned long*)(dst + 6) = __nds__pktt16(0, vstt);
}
// float replacement
inline void ndsrvp_f32_add8(const float* a, const float* b, float* c)
{
c[0] = a[0] + b[0];
c[1] = a[1] + b[1];
c[2] = a[2] + b[2];
c[3] = a[3] + b[3];
c[4] = a[4] + b[4];
c[5] = a[5] + b[5];
c[6] = a[6] + b[6];
c[7] = a[7] + b[7];
}
/*
[1] [8] [23]
[24] [8]
*/
inline void ndsrvp_f32_u8_mul8(const float* a, const unsigned long b, float* c) // experimental, not bit exact
{
const int mask_frac = 0x007FFFFF;
const int mask_sign = 0x7FFFFFFF;
const int mask_lead = 0x40000000;
const int ofs_exp = 23;
uint32x2_t va01 = *(uint32x2_t*)a;
uint32x2_t va23 = *(uint32x2_t*)(a + 2);
uint32x2_t va45 = *(uint32x2_t*)(a + 4);
uint32x2_t va67 = *(uint32x2_t*)(a + 6);
uint32x2_t vaexp01 = va01 >> ofs_exp;
uint32x2_t vaexp23 = va23 >> ofs_exp;
uint32x2_t vaexp45 = va45 >> ofs_exp;
uint32x2_t vaexp67 = va67 >> ofs_exp;
uint32x2_t vafrac01 = ((va01 << 7) & mask_sign) | mask_lead;
uint32x2_t vafrac23 = ((va23 << 7) & mask_sign) | mask_lead;
uint32x2_t vafrac45 = ((va45 << 7) & mask_sign) | mask_lead;
uint32x2_t vafrac67 = ((va67 << 7) & mask_sign) | mask_lead;
int16x4_t vb[2]; // fake signed for signed multiply
ndsrvp_u8_u16_eswap8(b, (ushort*)vb);
vafrac01 = (uint32x2_t)__nds__kmmwb2_u((long)vafrac01, (unsigned long)vb[0]);
vafrac23 = (uint32x2_t)__nds__kmmwt2_u((long)vafrac23, (unsigned long)vb[0]);
vafrac45 = (uint32x2_t)__nds__kmmwb2_u((long)vafrac45, (unsigned long)vb[1]);
vafrac67 = (uint32x2_t)__nds__kmmwt2_u((long)vafrac67, (unsigned long)vb[1]);
uint32x2_t vaclz01 = __nds__v_clz32(vafrac01) - 8;
uint32x2_t vaclz23 = __nds__v_clz32(vafrac23) - 8;
uint32x2_t vaclz45 = __nds__v_clz32(vafrac45) - 8;
uint32x2_t vaclz67 = __nds__v_clz32(vafrac67) - 8;
vaexp01 += 8 - vaclz01;
vaexp23 += 8 - vaclz23;
vaexp45 += 8 - vaclz45;
vaexp67 += 8 - vaclz67;
vafrac01 <<= vaclz01;
vafrac23 <<= vaclz23;
vafrac45 <<= vaclz45;
vafrac67 <<= vaclz67;
*(uint32x2_t*)c = (vaexp01 << ofs_exp) | (vafrac01 & mask_frac);
*(uint32x2_t*)(c + 2) = (vaexp23 << ofs_exp) | (vafrac23 & mask_frac);
*(uint32x2_t*)(c + 4) = (vaexp45 << ofs_exp) | (vafrac45 & mask_frac);
*(uint32x2_t*)(c + 6) = (vaexp67 << ofs_exp) | (vafrac67 & mask_frac);
}
// saturate
template<typename _Tp> static inline _Tp saturate_cast(int v) { return _Tp(v); }
template<typename _Tp> static inline _Tp saturate_cast(float v) { return _Tp(v); }
template<typename _Tp> static inline _Tp saturate_cast(double v) { return _Tp(v); }
template<> inline uchar saturate_cast<uchar>(int v) { return __nds__uclip32(v, 8); }
template<> inline uchar saturate_cast<uchar>(float v) { return saturate_cast<uchar>((int)lrintf(v)); }
template<> inline uchar saturate_cast<uchar>(double v) { return saturate_cast<uchar>((int)lrint(v)); }
template<> inline char saturate_cast<char>(int v) { return __nds__sclip32(v, 7); }
template<> inline char saturate_cast<char>(float v) { return saturate_cast<char>((int)lrintf(v)); }
template<> inline char saturate_cast<char>(double v) { return saturate_cast<char>((int)lrint(v)); }
template<> inline ushort saturate_cast<ushort>(int v) { return __nds__uclip32(v, 16); }
template<> inline ushort saturate_cast<ushort>(float v) { return saturate_cast<ushort>((int)lrintf(v)); }
template<> inline ushort saturate_cast<ushort>(double v) { return saturate_cast<ushort>((int)lrint(v)); }
template<> inline short saturate_cast<short>(int v) { return __nds__sclip32(v, 15); }
template<> inline short saturate_cast<short>(float v) { return saturate_cast<short>((int)lrintf(v)); }
template<> inline short saturate_cast<short>(double v) { return saturate_cast<short>((int)lrint(v)); }
template<> inline int saturate_cast<int>(float v) { return (int)lrintf(v); }
template<> inline int saturate_cast<int>(double v) { return (int)lrint(v); }
inline double cast_ptr_to_double(const uchar* v, int depth) {
switch (depth) {
case CV_8U: return (double)*(uchar*)v;
case CV_8S: return (double)*(char*)v;
case CV_16U: return (double)*(ushort*)v;
case CV_16S: return (double)*(short*)v;
case CV_32S: return (double)*(int*)v;
case CV_32F: return (double)*(float*)v;
case CV_64F: return (double)*(double*)v;
case CV_16F: return (double)*(float*)v;
default: return 0;
}
}
template <typename _Tp>
inline _Tp data_at(const uchar* data, int step, int y, int x, int cn)
{
return ((_Tp*)(data + y * step))[x * cn];
}
// align
inline long align(size_t v, int n)
{
return (v + n - 1) & -n;
}
} // namespace ndsrvp
} // namespace cv
#endif
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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
#include "ndsrvp_hal.hpp"
#include "opencv2/imgproc/hal/interface.h"
#include "cvutils.hpp"
namespace cv {
namespace ndsrvp {
class FilterData
{
public:
FilterData(uchar *_kernel_data, size_t _kernel_step, int _kernel_type, int _src_type, int _dst_type, int _borderType,
int _kernel_width, int _kernel_height, int _max_width, int _max_height, double _delta, int _anchor_x, int _anchor_y)
: kernel_data(_kernel_data), kernel_step(_kernel_step), kernel_type(_kernel_type), src_type(_src_type), dst_type(_dst_type), borderType(_borderType),
kernel_width(_kernel_width), kernel_height(_kernel_height), max_width(_max_width), max_height(_max_height), delta(_delta), anchor_x(_anchor_x), anchor_y(_anchor_y)
{
}
uchar *kernel_data;
size_t kernel_step; // bytes between rows(height)
int kernel_type, src_type, dst_type, borderType;
int kernel_width, kernel_height;
int max_width, max_height;
double delta;
int anchor_x, anchor_y;
std::vector<uchar> coords;
std::vector<float> coeffs;
int nz;
std::vector<uchar> padding;
};
static int countNonZero(const FilterData* ctx)
{
int i, j, nz = 0;
const uchar* ker_row = ctx->kernel_data;
for( i = 0; i < ctx->kernel_height; i++, ker_row += ctx->kernel_step )
{
for( j = 0; j < ctx->kernel_width; j++ )
{
if( ((float*)ker_row)[j] != 0.0 )
nz++;
}
}
return nz;
}
static void preprocess2DKernel(FilterData* ctx)
{
int i, j, k, nz = countNonZero(ctx), ktype = ctx->kernel_type;
if(nz == 0)
nz = 1; // (0, 0) == 0 by default
ndsrvp_assert( ktype == CV_32F );
ctx->coords.resize(nz * 2);
ctx->coeffs.resize(nz);
const uchar* ker_row = ctx->kernel_data;
for( i = k = 0; i < ctx->kernel_height; i++, ker_row += ctx->kernel_step )
{
for( j = 0; j < ctx->kernel_width; j++ )
{
float val = ((float*)ker_row)[j];
if( val == 0.0 )
continue;
ctx->coords[k * 2] = j;
ctx->coords[k * 2 + 1] = i;
ctx->coeffs[k++] = val;
}
}
ctx->nz = k;
}
int filterInit(cvhalFilter2D **context,
uchar *kernel_data, size_t kernel_step,
int kernel_type, int kernel_width,
int kernel_height, int max_width, int max_height,
int src_type, int dst_type, int borderType,
double delta, int anchor_x, int anchor_y,
bool allowSubmatrix, bool allowInplace)
{
int sdepth = CV_MAT_DEPTH(src_type), ddepth = CV_MAT_DEPTH(dst_type);
int cn = CV_MAT_CN(src_type), kdepth = kernel_type;
(void)allowSubmatrix;
(void)allowInplace;
if(delta - (int)delta != 0.0)
return CV_HAL_ERROR_NOT_IMPLEMENTED;
if(kdepth != CV_32F || (sdepth != CV_8U && sdepth != CV_16U) || ddepth != sdepth)
return CV_HAL_ERROR_NOT_IMPLEMENTED;
FilterData *ctx = new FilterData(kernel_data, kernel_step, kernel_type, src_type, dst_type, borderType,
kernel_width, kernel_height, max_width, max_height, delta, anchor_x, anchor_y);
*context = (cvhalFilter2D*)ctx;
ndsrvp_assert(cn == CV_MAT_CN(dst_type) && ddepth >= sdepth);
preprocess2DKernel(ctx);
return CV_HAL_ERROR_OK;
}
int filter(cvhalFilter2D *context,
const uchar *src_data, size_t src_step,
uchar *dst_data, size_t dst_step,
int width, int height,
int full_width, int full_height,
int offset_x, int offset_y)
{
FilterData *ctx = (FilterData*)context;
int cn = CV_MAT_CN(ctx->src_type);
int cnes = CV_ELEM_SIZE(ctx->src_type);
int ddepth = CV_MAT_DEPTH(ctx->dst_type);
float delta_sat = (uchar)(ctx->delta);
if(ddepth == CV_8U)
delta_sat = (float)saturate_cast<uchar>(ctx->delta);
else if(ddepth == CV_16U)
delta_sat = (float)saturate_cast<ushort>(ctx->delta);
// fetch original image data
const uchar *ogn_data = src_data - offset_y * src_step - offset_x * cnes;
int ogn_step = src_step;
// ROI fully used in the computation
int cal_width = width + ctx->kernel_width - 1;
int cal_height = height + ctx->kernel_height - 1;
int cal_x = offset_x - ctx->anchor_x; // negative if left border exceeded
int cal_y = offset_y - ctx->anchor_y; // negative if top border exceeded
// calculate source border
ctx->padding.resize(cal_width * cal_height * cnes);
uchar* pad_data = &ctx->padding[0];
int pad_step = cal_width * cnes;
uchar* pad_ptr;
const uchar* ogn_ptr;
std::vector<uchar> vec_zeros(cnes, 0);
for(int i = 0; i < cal_height; i++)
{
int y = borderInterpolate(i + cal_y, full_height, ctx->borderType);
if(y < 0) {
memset(pad_data + i * pad_step, 0, cnes * cal_width);
continue;
}
// left border
int j = 0;
int16x4_t vj = {0, 1, 2, 3};
vj += saturate_cast<short>(cal_x);
for(; j + cal_x < -4; j += 4, vj += 4)
{
int16x4_t vx = borderInterpolate_vector(vj, full_width, ctx->borderType);
for(int k = 0; k < 4; k++) {
if(vx[k] < 0) // border constant return value -1
ogn_ptr = &vec_zeros[0];
else
ogn_ptr = ogn_data + y * ogn_step + vx[k] * cnes;
pad_ptr = pad_data + i * pad_step + (j + k) * cnes;
memcpy(pad_ptr, ogn_ptr, cnes);
}
}
for(; j + cal_x < 0; j++)
{
int x = borderInterpolate(j + cal_x, full_width, ctx->borderType);
if(x < 0) // border constant return value -1
ogn_ptr = &vec_zeros[0];
else
ogn_ptr = ogn_data + y * ogn_step + x * cnes;
pad_ptr = pad_data + i * pad_step + j * cnes;
memcpy(pad_ptr, ogn_ptr, cnes);
}
// center
int rborder = MIN(cal_width, full_width - cal_x);
ogn_ptr = ogn_data + y * ogn_step + (j + cal_x) * cnes;
pad_ptr = pad_data + i * pad_step + j * cnes;
memcpy(pad_ptr, ogn_ptr, cnes * (rborder - j));
// right border
j = rborder;
vj = (int16x4_t){0, 1, 2, 3} + saturate_cast<short>(cal_x + rborder);
for(; j <= cal_width - 4; j += 4, vj += 4)
{
int16x4_t vx = borderInterpolate_vector(vj, full_width, ctx->borderType);
for(int k = 0; k < 4; k++) {
if(vx[k] < 0) // border constant return value -1
ogn_ptr = &vec_zeros[0];
else
ogn_ptr = ogn_data + y * ogn_step + vx[k] * cnes;
pad_ptr = pad_data + i * pad_step + (j + k) * cnes;
memcpy(pad_ptr, ogn_ptr, cnes);
}
}
for(; j < cal_width; j++)
{
int x = borderInterpolate(j + cal_x, full_width, ctx->borderType);
if(x < 0) // border constant return value -1
ogn_ptr = &vec_zeros[0];
else
ogn_ptr = ogn_data + y * ogn_step + x * cnes;
pad_ptr = pad_data + i * pad_step + j * cnes;
memcpy(pad_ptr, ogn_ptr, cnes);
}
}
// prepare the pointers
int i, k, count, nz = ctx->nz;
const uchar* ker_pts = &ctx->coords[0];
const float* ker_cfs = &ctx->coeffs[0];
if( ddepth == CV_8U )
{
std::vector<uchar*> src_ptrarr;
src_ptrarr.resize(nz);
uchar** src_ptrs = &src_ptrarr[0];
uchar* dst_row = dst_data;
uchar* pad_row = pad_data;
for( count = 0; count < height; count++, dst_row += dst_step, pad_row += pad_step )
{
for( k = 0; k < nz; k++ )
src_ptrs[k] = (uchar*)pad_row + ker_pts[k * 2 + 1] * pad_step + ker_pts[k * 2] * cnes;
i = 0;
for( ; i <= width * cnes - 8; i += 8 )
{
float vs0[8] = {delta_sat, delta_sat, delta_sat, delta_sat, delta_sat, delta_sat, delta_sat, delta_sat};
for( k = 0; k < nz; k++ ) {
float vker_cfs[8] = {ker_cfs[k], ker_cfs[k], ker_cfs[k], ker_cfs[k], ker_cfs[k], ker_cfs[k], ker_cfs[k], ker_cfs[k]};
// experimental code
// ndsrvp_f32_u8_mul8(vker_cfs, *(unsigned long*)(src_ptrs[k] + i), vker_cfs);
// ndsrvp_f32_add8(vs0, vker_cfs, vs0);
vs0[0] += vker_cfs[0] * src_ptrs[k][i];
vs0[1] += vker_cfs[1] * src_ptrs[k][i + 1];
vs0[2] += vker_cfs[2] * src_ptrs[k][i + 2];
vs0[3] += vker_cfs[3] * src_ptrs[k][i + 3];
vs0[4] += vker_cfs[4] * src_ptrs[k][i + 4];
vs0[5] += vker_cfs[5] * src_ptrs[k][i + 5];
vs0[6] += vker_cfs[6] * src_ptrs[k][i + 6];
vs0[7] += vker_cfs[7] * src_ptrs[k][i + 7];
}
dst_row[i] = saturate_cast<uchar>(vs0[0]);
dst_row[i + 1] = saturate_cast<uchar>(vs0[1]);
dst_row[i + 2] = saturate_cast<uchar>(vs0[2]);
dst_row[i + 3] = saturate_cast<uchar>(vs0[3]);
dst_row[i + 4] = saturate_cast<uchar>(vs0[4]);
dst_row[i + 5] = saturate_cast<uchar>(vs0[5]);
dst_row[i + 6] = saturate_cast<uchar>(vs0[6]);
dst_row[i + 7] = saturate_cast<uchar>(vs0[7]);
}
for( ; i < width * cnes; i++ )
{
float s0 = delta_sat;
for( k = 0; k < nz; k++ ) {
s0 += ker_cfs[k] * src_ptrs[k][i];
}
dst_row[i] = saturate_cast<uchar>(s0);
}
}
}
else if( ddepth == CV_16U )
{
std::vector<ushort*> src_ptrarr;
src_ptrarr.resize(nz);
ushort** src_ptrs = &src_ptrarr[0];
uchar* dst_row = dst_data;
uchar* pad_row = pad_data;
for( count = 0; count < height; count++, dst_row += dst_step, pad_row += pad_step )
{
for( k = 0; k < nz; k++ )
src_ptrs[k] = (ushort*)((uchar*)pad_row + ker_pts[k * 2 + 1] * pad_step + ker_pts[k * 2] * cnes);
i = 0;
for( ; i <= width * cn - 4; i += 4 )
{
float vs0[8] = {delta_sat, delta_sat, delta_sat, delta_sat};
for( k = 0; k < nz; k++ ) {
float vker_cfs[8] = {ker_cfs[k], ker_cfs[k], ker_cfs[k], ker_cfs[k]};
vs0[0] += vker_cfs[0] * src_ptrs[k][i];
vs0[1] += vker_cfs[1] * src_ptrs[k][i + 1];
vs0[2] += vker_cfs[2] * src_ptrs[k][i + 2];
vs0[3] += vker_cfs[3] * src_ptrs[k][i + 3];
}
ushort* dst_row_ptr = (ushort*)dst_row;
dst_row_ptr[i] = saturate_cast<ushort>(vs0[0]);
dst_row_ptr[i + 1] = saturate_cast<ushort>(vs0[1]);
dst_row_ptr[i + 2] = saturate_cast<ushort>(vs0[2]);
dst_row_ptr[i + 3] = saturate_cast<ushort>(vs0[3]);
}
for( ; i < width * cn; i++ )
{
float s0 = delta_sat;
for( k = 0; k < nz; k++ ) {
s0 += ker_cfs[k] * src_ptrs[k][i];
}
((ushort*)dst_row)[i] = saturate_cast<ushort>(s0);
}
}
}
return CV_HAL_ERROR_OK;
}
int filterFree(cvhalFilter2D *context) {
FilterData *ctx = (FilterData*)context;
delete ctx;
return CV_HAL_ERROR_OK;
}
} // namespace ndsrvp
} // namespace cv
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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
#include "ndsrvp_hal.hpp"
#include "opencv2/imgproc/hal/interface.h"
#include "cvutils.hpp"
namespace cv {
namespace ndsrvp {
int integral(int depth, int sdepth, int sqdepth,
const uchar* src, size_t _srcstep,
uchar* _sum, size_t _sumstep,
uchar* _sqsum, size_t,
uchar* _tilted, size_t,
int width, int height, int cn)
{
// 8-bit unsigned integer, 32-bit signed integer only
if (!(depth == CV_8U && sdepth == CV_32S))
return CV_HAL_ERROR_NOT_IMPLEMENTED;
// too small image
if (!(width >> 8 || height >> 8 || cn == 4))
return CV_HAL_ERROR_NOT_IMPLEMENTED;
int* sum = (int*)_sum;
double* sqsum = (double*)_sqsum;
int* tilted = (int*)_tilted;
if (sqsum || tilted || cn > 4)
return CV_HAL_ERROR_NOT_IMPLEMENTED;
sqdepth = sqdepth;
width *= cn;
memset(sum, 0, (width + cn) * sizeof(int));
if (cn == 1) {
for (int i = 0; i < height; ++i) {
const uchar* src_row = src + _srcstep * i;
int* prev_sum_row = (int*)((uchar*)sum + _sumstep * i) + cn;
int* sum_row = (int*)((uchar*)sum + _sumstep * (i + 1)) + cn;
sum_row[-1] = 0;
int32x2_t prev = { 0, 0 };
int j = 0;
for (; j + 8 <= width; j += 8) {
unsigned long vs8x8 = *(unsigned long*)(src_row + j);
unsigned long vs810 = __nds__zunpkd810(vs8x8);
unsigned long vs832 = __nds__zunpkd832(vs8x8);
int16x4_t vs16x4 = (int16x4_t)__nds__pkbb32(vs832, vs810);
vs16x4 += (int16x4_t)((unsigned long)vs16x4 << 16); // gcc vector extension
vs16x4 += (int16x4_t)((unsigned long)vs16x4 << 32); // '+' is add16
//*(int32x2_t*)(sum_row + j) = (int32x2_t) { vs16x4[0], vs16x4[1] } + *(int32x2_t*)(prev_sum_row + j) + prev;
//*(int32x2_t*)(sum_row + j + 2) = (int32x2_t) { vs16x4[2], vs16x4[3] } + *(int32x2_t*)(prev_sum_row + j + 2) + prev;
// performance loss for unknown reason, commented out, use the following code instead
sum_row[j] = prev_sum_row[j] + prev[0] + vs16x4[0];
sum_row[j + 1] = prev_sum_row[j + 1] + prev[1] + vs16x4[1];
sum_row[j + 2] = prev_sum_row[j + 2] + prev[0] + vs16x4[2];
sum_row[j + 3] = prev_sum_row[j + 3] + prev[1] + vs16x4[3];
prev += vs16x4[3]; // prev += (int32x2_t){vs16x4[3], vs16x4[3]};
vs16x4 = (int16x4_t)__nds__pktt32(vs832, vs810);
vs16x4 += (int16x4_t)((unsigned long)vs16x4 << 16);
vs16x4 += (int16x4_t)((unsigned long)vs16x4 << 32);
//*(int32x2_t*)(sum_row + j + 4) = (int32x2_t) { vs16x4[0], vs16x4[1] } + *(int32x2_t*)(prev_sum_row + j + 4) + prev;
//*(int32x2_t*)(sum_row + j + 6) = (int32x2_t) { vs16x4[2], vs16x4[3] } + *(int32x2_t*)(prev_sum_row + j + 6) + prev;
// performance loss for unknown reason, commented out, use the following code instead
sum_row[j + 4] = prev_sum_row[j + 4] + prev[0] + vs16x4[0];
sum_row[j + 5] = prev_sum_row[j + 5] + prev[1] + vs16x4[1];
sum_row[j + 6] = prev_sum_row[j + 6] + prev[0] + vs16x4[2];
sum_row[j + 7] = prev_sum_row[j + 7] + prev[1] + vs16x4[3];
prev += vs16x4[3];
}
for (int v = sum_row[j - 1] - prev_sum_row[j - 1]; j < width; ++j)
sum_row[j] = (v += src_row[j]) + prev_sum_row[j];
}
} else if (cn == 2) {
for (int i = 0; i < height; ++i) {
const uchar* src_row = src + _srcstep * i;
int* prev_sum_row = (int*)((uchar*)sum + _sumstep * i) + cn;
int* sum_row = (int*)((uchar*)sum + _sumstep * (i + 1)) + cn;
sum_row[-1] = sum_row[-2] = 0;
int32x2_t prev = { 0, 0 };
int j = 0;
for (; j + 8 <= width; j += 8) {
uint8x8_t vs8x8 = *(uint8x8_t*)(src_row + j);
uint16x4_t vs16x4_1 = __nds__v_zunpkd820(vs8x8);
uint16x4_t vs16x4_2 = __nds__v_zunpkd831(vs8x8);
vs16x4_1 += (int16x4_t)((unsigned long)vs16x4_1 << 16);
vs16x4_1 += (int16x4_t)((unsigned long)vs16x4_1 << 32);
vs16x4_2 += (int16x4_t)((unsigned long)vs16x4_2 << 16);
vs16x4_2 += (int16x4_t)((unsigned long)vs16x4_2 << 32);
*(int32x2_t*)(sum_row + j) = (int32x2_t) { vs16x4_1[0], vs16x4_2[0] } + *(int32x2_t*)(prev_sum_row + j) + prev;
*(int32x2_t*)(sum_row + j + 2) = (int32x2_t) { vs16x4_1[1], vs16x4_2[1] } + *(int32x2_t*)(prev_sum_row + j + 2) + prev;
*(int32x2_t*)(sum_row + j + 2 * 2) = (int32x2_t) { vs16x4_1[2], vs16x4_2[2] } + *(int32x2_t*)(prev_sum_row + j + 2 * 2) + prev;
*(int32x2_t*)(sum_row + j + 2 * 3) = (int32x2_t) { vs16x4_1[3], vs16x4_2[3] } + *(int32x2_t*)(prev_sum_row + j + 2 * 3) + prev;
prev += (int32x2_t) { vs16x4_1[3], vs16x4_2[3] };
}
for (int v2 = sum_row[j - 1] - prev_sum_row[j - 1],
v1 = sum_row[j - 2] - prev_sum_row[j - 2];
j < width; j += 2) {
sum_row[j] = (v1 += src_row[j]) + prev_sum_row[j];
sum_row[j + 1] = (v2 += src_row[j + 1]) + prev_sum_row[j + 1];
}
}
} else if (cn == 3) {
return CV_HAL_ERROR_NOT_IMPLEMENTED;
/* disabled because of unaligned memory access, difficulty in vectorization, etc.
for (int i = 0; i < height; ++i) {
const uchar* src_row = src + _srcstep * i;
int* prev_sum_row = (int*)((uchar*)sum + _sumstep * i) + cn;
int* sum_row = (int*)((uchar*)sum + _sumstep * (i + 1)) + cn;
sum_row[-1] = sum_row[-2] = sum_row[-3] = 0;
int32x2_t prev_ptr[2] = { { 0, 0 }, { 0, 0 } };
int j = 0;
for (; j + 3 <= width; j += 3) {
//uint8x4_t vs8x4 = *(uint8x4_t*)(src_row + j);
// performance loss for unknown reason, commented out, use the following code instead
uint8x4_t vs8x4 = (uint8x4_t){ src_row[j], src_row[j + 1], src_row[j + 2], 0};
// [ 0 | 2 | 1 | 3 ]
int16x4_t vs16x4 = (int16x4_t)__nds__pkbb32(__nds__zunpkd831((unsigned int)vs8x4), __nds__zunpkd820((unsigned int)vs8x4));
// [ b | t | b | t ]
prev_ptr[0] += (int32x2_t)__nds__pkbb16(0, (unsigned long)vs16x4);
prev_ptr[1] += (int32x2_t)__nds__pktt16(0, (unsigned long)vs16x4);
//*(int32x4_t*)(sum_row + j) = *(int32x4_t*)(prev_sum_row + j) + *(int32x4_t*)prev_ptr;
// performance loss for unknown reason, commented out, use the following code instead
sum_row[j] = prev_sum_row[j] + prev_ptr[0][0];
sum_row[j + 1] = prev_sum_row[j + 1] + prev_ptr[0][1];
sum_row[j + 2] = prev_sum_row[j + 2] + prev_ptr[1][0];
}
for (int v3 = sum_row[j - 1] - prev_sum_row[j - 1],
v2 = sum_row[j - 2] - prev_sum_row[j - 2],
v1 = sum_row[j - 3] - prev_sum_row[j - 3];
j < width; j += 3) {
sum_row[j] = (v1 += src_row[j]) + prev_sum_row[j];
sum_row[j + 1] = (v2 += src_row[j + 1]) + prev_sum_row[j + 1];
sum_row[j + 2] = (v3 += src_row[j + 2]) + prev_sum_row[j + 2];
}
}*/
} else if (cn == 4) {
for (int i = 0; i < height; ++i) {
const uchar* src_row = src + _srcstep * i;
int* prev_sum_row = (int*)((uchar*)sum + _sumstep * i) + cn;
int* sum_row = (int*)((uchar*)sum + _sumstep * (i + 1)) + cn;
sum_row[-1] = sum_row[-2] = sum_row[-3] = sum_row[-4] = 0;
int32x2_t prev_ptr[2] = { { 0, 0 }, { 0, 0 } };
int j = 0;
for (; j + 4 <= width; j += 4) {
uint8x4_t vs8x4 = *(uint8x4_t*)(src_row + j);
// [ 0 | 2 | 1 | 3 ]
int16x4_t vs16x4 = (int16x4_t)__nds__pkbb32(__nds__zunpkd831((unsigned int)vs8x4), __nds__zunpkd820((unsigned int)vs8x4));
// [ b | t | b | t ]
prev_ptr[0] += (int32x2_t)__nds__pkbb16(0, (unsigned long)vs16x4);
prev_ptr[1] += (int32x2_t)__nds__pktt16(0, (unsigned long)vs16x4);
*(int32x4_t*)(sum_row + j) = *(int32x4_t*)(prev_sum_row + j) + *(int32x4_t*)prev_ptr;
}
for (int v4 = sum_row[j - 1] - prev_sum_row[j - 1],
v3 = sum_row[j - 2] - prev_sum_row[j - 2],
v2 = sum_row[j - 3] - prev_sum_row[j - 3],
v1 = sum_row[j - 4] - prev_sum_row[j - 4];
j < width; j += 4) {
sum_row[j] = (v1 += src_row[j]) + prev_sum_row[j];
sum_row[j + 1] = (v2 += src_row[j + 1]) + prev_sum_row[j + 1];
sum_row[j + 2] = (v3 += src_row[j + 2]) + prev_sum_row[j + 2];
sum_row[j + 3] = (v4 += src_row[j + 3]) + prev_sum_row[j + 3];
}
}
}
return CV_HAL_ERROR_OK;
}
} // namespace ndsrvp
} // namespace cv
+300
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@@ -0,0 +1,300 @@
// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
#include "ndsrvp_hal.hpp"
#include "opencv2/imgproc/hal/interface.h"
#include "cvutils.hpp"
namespace cv {
namespace ndsrvp {
struct operators_minmax_t {
inline void vector(uint8x8_t & a, uint8x8_t & b) const {
uint8x8_t t = a;
a = __nds__v_umin8(a, b);
b = __nds__v_umax8(t, b);
}
inline void scalar(uchar & a, uchar & b) const {
uchar t = a;
a = __nds__umin8(a, b);
b = __nds__umax8(t, b);
}
inline void vector(int8x8_t & a, int8x8_t & b) const {
int8x8_t t = a;
a = __nds__v_smin8(a, b);
b = __nds__v_smax8(t, b);
}
inline void scalar(schar & a, schar & b) const {
schar t = a;
a = __nds__smin8(a, b);
b = __nds__smax8(t, b);
}
inline void vector(uint16x4_t & a, uint16x4_t & b) const {
uint16x4_t t = a;
a = __nds__v_umin16(a, b);
b = __nds__v_umax16(t, b);
}
inline void scalar(ushort & a, ushort & b) const {
ushort t = a;
a = __nds__umin16(a, b);
b = __nds__umax16(t, b);
}
inline void vector(int16x4_t & a, int16x4_t & b) const {
int16x4_t t = a;
a = __nds__v_smin16(a, b);
b = __nds__v_smax16(t, b);
}
inline void scalar(short & a, short & b) const {
short t = a;
a = __nds__smin16(a, b);
b = __nds__smax16(t, b);
}
};
template<typename T, typename WT, typename VT> // type, widen type, vector type
static void
medianBlur_SortNet( const uchar* src_data, size_t src_step,
uchar* dst_data, size_t dst_step,
int width, int height, int cn, int ksize )
{
const T* src = (T*)src_data;
T* dst = (T*)dst_data;
int sstep = (int)(src_step / sizeof(T));
int dstep = (int)(dst_step / sizeof(T));
int i, j, k;
operators_minmax_t op;
if( ksize == 3 )
{
if( width == 1 || height == 1 )
{
int len = width + height - 1;
int sdelta = height == 1 ? cn : sstep;
int sdelta0 = height == 1 ? 0 : sstep - cn;
int ddelta = height == 1 ? cn : dstep;
for( i = 0; i < len; i++, src += sdelta0, dst += ddelta )
for( j = 0; j < cn; j++, src++ )
{
T p0 = src[i > 0 ? -sdelta : 0];
T p1 = src[0];
T p2 = src[i < len - 1 ? sdelta : 0];
op.scalar(p0, p1); op.scalar(p1, p2); op.scalar(p0, p1);
dst[j] = (T)p1;
}
return;
}
width *= cn;
for( i = 0; i < height; i++, dst += dstep )
{
const T* row0 = src + std::max(i - 1, 0)*sstep;
const T* row1 = src + i*sstep;
const T* row2 = src + std::min(i + 1, height-1)*sstep;
int limit = cn;
for(j = 0;; )
{
for( ; j < limit; j++ )
{
int j0 = j >= cn ? j - cn : j;
int j2 = j < width - cn ? j + cn : j;
T p0 = row0[j0], p1 = row0[j], p2 = row0[j2];
T p3 = row1[j0], p4 = row1[j], p5 = row1[j2];
T p6 = row2[j0], p7 = row2[j], p8 = row2[j2];
op.scalar(p1, p2); op.scalar(p4, p5); op.scalar(p7, p8); op.scalar(p0, p1);
op.scalar(p3, p4); op.scalar(p6, p7); op.scalar(p1, p2); op.scalar(p4, p5);
op.scalar(p7, p8); op.scalar(p0, p3); op.scalar(p5, p8); op.scalar(p4, p7);
op.scalar(p3, p6); op.scalar(p1, p4); op.scalar(p2, p5); op.scalar(p4, p7);
op.scalar(p4, p2); op.scalar(p6, p4); op.scalar(p4, p2);
dst[j] = (T)p4;
}
if( limit == width )
break;
int nlanes = 8 / sizeof(T);
for( ; (cn % nlanes == 0) && (j <= width - nlanes - cn); j += nlanes ) // alignment
{
VT p0 = *(VT*)(row0+j-cn), p1 = *(VT*)(row0+j), p2 = *(VT*)(row0+j+cn);
VT p3 = *(VT*)(row1+j-cn), p4 = *(VT*)(row1+j), p5 = *(VT*)(row1+j+cn);
VT p6 = *(VT*)(row2+j-cn), p7 = *(VT*)(row2+j), p8 = *(VT*)(row2+j+cn);
op.vector(p1, p2); op.vector(p4, p5); op.vector(p7, p8); op.vector(p0, p1);
op.vector(p3, p4); op.vector(p6, p7); op.vector(p1, p2); op.vector(p4, p5);
op.vector(p7, p8); op.vector(p0, p3); op.vector(p5, p8); op.vector(p4, p7);
op.vector(p3, p6); op.vector(p1, p4); op.vector(p2, p5); op.vector(p4, p7);
op.vector(p4, p2); op.vector(p6, p4); op.vector(p4, p2);
*(VT*)(dst+j) = p4;
}
limit = width;
}
}
}
else if( ksize == 5 )
{
if( width == 1 || height == 1 )
{
int len = width + height - 1;
int sdelta = height == 1 ? cn : sstep;
int sdelta0 = height == 1 ? 0 : sstep - cn;
int ddelta = height == 1 ? cn : dstep;
for( i = 0; i < len; i++, src += sdelta0, dst += ddelta )
for( j = 0; j < cn; j++, src++ )
{
int i1 = i > 0 ? -sdelta : 0;
int i0 = i > 1 ? -sdelta*2 : i1;
int i3 = i < len-1 ? sdelta : 0;
int i4 = i < len-2 ? sdelta*2 : i3;
T p0 = src[i0], p1 = src[i1], p2 = src[0], p3 = src[i3], p4 = src[i4];
op.scalar(p0, p1); op.scalar(p3, p4); op.scalar(p2, p3); op.scalar(p3, p4); op.scalar(p0, p2);
op.scalar(p2, p4); op.scalar(p1, p3); op.scalar(p1, p2);
dst[j] = (T)p2;
}
return;
}
width *= cn;
for( i = 0; i < height; i++, dst += dstep )
{
const T* row[5];
row[0] = src + std::max(i - 2, 0)*sstep;
row[1] = src + std::max(i - 1, 0)*sstep;
row[2] = src + i*sstep;
row[3] = src + std::min(i + 1, height-1)*sstep;
row[4] = src + std::min(i + 2, height-1)*sstep;
int limit = cn*2;
for(j = 0;; )
{
for( ; j < limit; j++ )
{
T p[25];
int j1 = j >= cn ? j - cn : j;
int j0 = j >= cn*2 ? j - cn*2 : j1;
int j3 = j < width - cn ? j + cn : j;
int j4 = j < width - cn*2 ? j + cn*2 : j3;
for( k = 0; k < 5; k++ )
{
const T* rowk = row[k];
p[k*5] = rowk[j0]; p[k*5+1] = rowk[j1];
p[k*5+2] = rowk[j]; p[k*5+3] = rowk[j3];
p[k*5+4] = rowk[j4];
}
op.scalar(p[1], p[2]); op.scalar(p[0], p[1]); op.scalar(p[1], p[2]); op.scalar(p[4], p[5]); op.scalar(p[3], p[4]);
op.scalar(p[4], p[5]); op.scalar(p[0], p[3]); op.scalar(p[2], p[5]); op.scalar(p[2], p[3]); op.scalar(p[1], p[4]);
op.scalar(p[1], p[2]); op.scalar(p[3], p[4]); op.scalar(p[7], p[8]); op.scalar(p[6], p[7]); op.scalar(p[7], p[8]);
op.scalar(p[10], p[11]); op.scalar(p[9], p[10]); op.scalar(p[10], p[11]); op.scalar(p[6], p[9]); op.scalar(p[8], p[11]);
op.scalar(p[8], p[9]); op.scalar(p[7], p[10]); op.scalar(p[7], p[8]); op.scalar(p[9], p[10]); op.scalar(p[0], p[6]);
op.scalar(p[4], p[10]); op.scalar(p[4], p[6]); op.scalar(p[2], p[8]); op.scalar(p[2], p[4]); op.scalar(p[6], p[8]);
op.scalar(p[1], p[7]); op.scalar(p[5], p[11]); op.scalar(p[5], p[7]); op.scalar(p[3], p[9]); op.scalar(p[3], p[5]);
op.scalar(p[7], p[9]); op.scalar(p[1], p[2]); op.scalar(p[3], p[4]); op.scalar(p[5], p[6]); op.scalar(p[7], p[8]);
op.scalar(p[9], p[10]); op.scalar(p[13], p[14]); op.scalar(p[12], p[13]); op.scalar(p[13], p[14]); op.scalar(p[16], p[17]);
op.scalar(p[15], p[16]); op.scalar(p[16], p[17]); op.scalar(p[12], p[15]); op.scalar(p[14], p[17]); op.scalar(p[14], p[15]);
op.scalar(p[13], p[16]); op.scalar(p[13], p[14]); op.scalar(p[15], p[16]); op.scalar(p[19], p[20]); op.scalar(p[18], p[19]);
op.scalar(p[19], p[20]); op.scalar(p[21], p[22]); op.scalar(p[23], p[24]); op.scalar(p[21], p[23]); op.scalar(p[22], p[24]);
op.scalar(p[22], p[23]); op.scalar(p[18], p[21]); op.scalar(p[20], p[23]); op.scalar(p[20], p[21]); op.scalar(p[19], p[22]);
op.scalar(p[22], p[24]); op.scalar(p[19], p[20]); op.scalar(p[21], p[22]); op.scalar(p[23], p[24]); op.scalar(p[12], p[18]);
op.scalar(p[16], p[22]); op.scalar(p[16], p[18]); op.scalar(p[14], p[20]); op.scalar(p[20], p[24]); op.scalar(p[14], p[16]);
op.scalar(p[18], p[20]); op.scalar(p[22], p[24]); op.scalar(p[13], p[19]); op.scalar(p[17], p[23]); op.scalar(p[17], p[19]);
op.scalar(p[15], p[21]); op.scalar(p[15], p[17]); op.scalar(p[19], p[21]); op.scalar(p[13], p[14]); op.scalar(p[15], p[16]);
op.scalar(p[17], p[18]); op.scalar(p[19], p[20]); op.scalar(p[21], p[22]); op.scalar(p[23], p[24]); op.scalar(p[0], p[12]);
op.scalar(p[8], p[20]); op.scalar(p[8], p[12]); op.scalar(p[4], p[16]); op.scalar(p[16], p[24]); op.scalar(p[12], p[16]);
op.scalar(p[2], p[14]); op.scalar(p[10], p[22]); op.scalar(p[10], p[14]); op.scalar(p[6], p[18]); op.scalar(p[6], p[10]);
op.scalar(p[10], p[12]); op.scalar(p[1], p[13]); op.scalar(p[9], p[21]); op.scalar(p[9], p[13]); op.scalar(p[5], p[17]);
op.scalar(p[13], p[17]); op.scalar(p[3], p[15]); op.scalar(p[11], p[23]); op.scalar(p[11], p[15]); op.scalar(p[7], p[19]);
op.scalar(p[7], p[11]); op.scalar(p[11], p[13]); op.scalar(p[11], p[12]);
dst[j] = (T)p[12];
}
if( limit == width )
break;
int nlanes = 8 / sizeof(T);
for( ; (cn % nlanes == 0) && (j <= width - nlanes - cn*2); j += nlanes )
{
VT p0 = *(VT*)(row[0]+j-cn*2), p5 = *(VT*)(row[1]+j-cn*2), p10 = *(VT*)(row[2]+j-cn*2), p15 = *(VT*)(row[3]+j-cn*2), p20 = *(VT*)(row[4]+j-cn*2);
VT p1 = *(VT*)(row[0]+j-cn*1), p6 = *(VT*)(row[1]+j-cn*1), p11 = *(VT*)(row[2]+j-cn*1), p16 = *(VT*)(row[3]+j-cn*1), p21 = *(VT*)(row[4]+j-cn*1);
VT p2 = *(VT*)(row[0]+j-cn*0), p7 = *(VT*)(row[1]+j-cn*0), p12 = *(VT*)(row[2]+j-cn*0), p17 = *(VT*)(row[3]+j-cn*0), p22 = *(VT*)(row[4]+j-cn*0);
VT p3 = *(VT*)(row[0]+j+cn*1), p8 = *(VT*)(row[1]+j+cn*1), p13 = *(VT*)(row[2]+j+cn*1), p18 = *(VT*)(row[3]+j+cn*1), p23 = *(VT*)(row[4]+j+cn*1);
VT p4 = *(VT*)(row[0]+j+cn*2), p9 = *(VT*)(row[1]+j+cn*2), p14 = *(VT*)(row[2]+j+cn*2), p19 = *(VT*)(row[3]+j+cn*2), p24 = *(VT*)(row[4]+j+cn*2);
op.vector(p1, p2); op.vector(p0, p1); op.vector(p1, p2); op.vector(p4, p5); op.vector(p3, p4);
op.vector(p4, p5); op.vector(p0, p3); op.vector(p2, p5); op.vector(p2, p3); op.vector(p1, p4);
op.vector(p1, p2); op.vector(p3, p4); op.vector(p7, p8); op.vector(p6, p7); op.vector(p7, p8);
op.vector(p10, p11); op.vector(p9, p10); op.vector(p10, p11); op.vector(p6, p9); op.vector(p8, p11);
op.vector(p8, p9); op.vector(p7, p10); op.vector(p7, p8); op.vector(p9, p10); op.vector(p0, p6);
op.vector(p4, p10); op.vector(p4, p6); op.vector(p2, p8); op.vector(p2, p4); op.vector(p6, p8);
op.vector(p1, p7); op.vector(p5, p11); op.vector(p5, p7); op.vector(p3, p9); op.vector(p3, p5);
op.vector(p7, p9); op.vector(p1, p2); op.vector(p3, p4); op.vector(p5, p6); op.vector(p7, p8);
op.vector(p9, p10); op.vector(p13, p14); op.vector(p12, p13); op.vector(p13, p14); op.vector(p16, p17);
op.vector(p15, p16); op.vector(p16, p17); op.vector(p12, p15); op.vector(p14, p17); op.vector(p14, p15);
op.vector(p13, p16); op.vector(p13, p14); op.vector(p15, p16); op.vector(p19, p20); op.vector(p18, p19);
op.vector(p19, p20); op.vector(p21, p22); op.vector(p23, p24); op.vector(p21, p23); op.vector(p22, p24);
op.vector(p22, p23); op.vector(p18, p21); op.vector(p20, p23); op.vector(p20, p21); op.vector(p19, p22);
op.vector(p22, p24); op.vector(p19, p20); op.vector(p21, p22); op.vector(p23, p24); op.vector(p12, p18);
op.vector(p16, p22); op.vector(p16, p18); op.vector(p14, p20); op.vector(p20, p24); op.vector(p14, p16);
op.vector(p18, p20); op.vector(p22, p24); op.vector(p13, p19); op.vector(p17, p23); op.vector(p17, p19);
op.vector(p15, p21); op.vector(p15, p17); op.vector(p19, p21); op.vector(p13, p14); op.vector(p15, p16);
op.vector(p17, p18); op.vector(p19, p20); op.vector(p21, p22); op.vector(p23, p24); op.vector(p0, p12);
op.vector(p8, p20); op.vector(p8, p12); op.vector(p4, p16); op.vector(p16, p24); op.vector(p12, p16);
op.vector(p2, p14); op.vector(p10, p22); op.vector(p10, p14); op.vector(p6, p18); op.vector(p6, p10);
op.vector(p10, p12); op.vector(p1, p13); op.vector(p9, p21); op.vector(p9, p13); op.vector(p5, p17);
op.vector(p13, p17); op.vector(p3, p15); op.vector(p11, p23); op.vector(p11, p15); op.vector(p7, p19);
op.vector(p7, p11); op.vector(p11, p13); op.vector(p11, p12);
*(VT*)(dst+j) = p12;
}
limit = width;
}
}
}
}
int medianBlur(const uchar* src_data, size_t src_step,
uchar* dst_data, size_t dst_step,
int width, int height, int depth, int cn, int ksize)
{
bool useSortNet = ((ksize == 3) || (ksize == 5 && ( depth > CV_8U || cn == 2 || cn > 4 )));
if( useSortNet )
{
uchar* src_data_rep;
if( dst_data == src_data ) {
std::vector<uchar> src_data_copy(src_step * height);
memcpy(src_data_copy.data(), src_data, src_step * height);
src_data_rep = &src_data_copy[0];
}
else {
src_data_rep = (uchar*)src_data;
}
if( depth == CV_8U )
medianBlur_SortNet<uchar, int, uint8x8_t>( src_data_rep, src_step, dst_data, dst_step, width, height, cn, ksize );
else if( depth == CV_8S )
medianBlur_SortNet<schar, int, int8x8_t>( src_data_rep, src_step, dst_data, dst_step, width, height, cn, ksize );
else if( depth == CV_16U )
medianBlur_SortNet<ushort, int, uint16x4_t>( src_data_rep, src_step, dst_data, dst_step, width, height, cn, ksize );
else if( depth == CV_16S )
medianBlur_SortNet<short, int, int16x4_t>( src_data_rep, src_step, dst_data, dst_step, width, height, cn, ksize );
else
return CV_HAL_ERROR_NOT_IMPLEMENTED;
return CV_HAL_ERROR_OK;
}
else return CV_HAL_ERROR_NOT_IMPLEMENTED;
}
} // namespace ndsrvp
} // namespace cv
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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
#include "ndsrvp_hal.hpp"
#include "opencv2/imgproc/hal/interface.h"
#include "cvutils.hpp"
namespace cv {
namespace ndsrvp {
int remap32f(int src_type, const uchar* src_data, size_t src_step, int src_width, int src_height,
uchar* dst_data, size_t dst_step, int dst_width, int dst_height, float* mapx, size_t mapx_step,
float* mapy, size_t mapy_step, int interpolation, int border_type, const double border_value[4])
{
const bool isRelative = ((interpolation & CV_HAL_WARP_RELATIVE_MAP) != 0);
interpolation &= ~CV_HAL_WARP_RELATIVE_MAP;
if( interpolation == CV_HAL_INTER_AREA )
interpolation = CV_HAL_INTER_LINEAR;
if( interpolation != CV_HAL_INTER_NEAREST )
return CV_HAL_ERROR_NOT_IMPLEMENTED;
// only CV_8U
if( (src_type & CV_MAT_DEPTH_MASK) != CV_8U )
return CV_HAL_ERROR_NOT_IMPLEMENTED;
int cn = CV_MAT_CN(src_type);
src_step /= sizeof(uchar);
dst_step /= sizeof(uchar);
// mapping CV_32FC1
mapx_step /= sizeof(float);
mapy_step /= sizeof(float);
// border
uchar border_const[CV_CN_MAX];
for( int k = 0; k < CV_CN_MAX; k++ )
border_const[k] = saturate_cast<uchar>(border_value[k & 3]);
// divide into blocks
const int BLOCK_SIZE = 1024;
int x, y, x1, y1;
std::array<short, BLOCK_SIZE * BLOCK_SIZE * 2> aXY;
short* XY = aXY.data();
size_t XY_step = BLOCK_SIZE * 2;
// vectorize
const int32x2_t src_wh = {src_width, src_height};
const int32x2_t arr_index = {cn, (int)src_step};
for (y = 0; y < dst_height; y += BLOCK_SIZE)
{
int dy = std::min(BLOCK_SIZE, dst_height - y);
for (x = 0; x < dst_width; x += BLOCK_SIZE)
{
const int off_y = isRelative ? y : 0;
const int off_x = isRelative ? x : 0;
const int32x2_t voff = {off_x, off_y};
int dx = std::min(BLOCK_SIZE, dst_width - x);
// prepare mapping data XY
for (y1 = 0; y1 < dy; y1++)
{
short* rXY = XY + y1 * XY_step;
const float* sX = mapx + (y + y1) * mapx_step + x;
const float* sY = mapy + (y + y1) * mapy_step + x;
for (x1 = 0; x1 < dx; x1++)
{
rXY[x1 * 2] = saturate_cast<short>(sX[x1]);
rXY[x1 * 2 + 1] = saturate_cast<short>(sY[x1]);
}
}
// precalulate offset
if(isRelative)
{
int16x8_t voff_x;
int16x8_t voff_y = {0, 0, 1, 0, 2, 0, 3, 0};
int16x8_t vones_x = {4, 0, 4, 0, 4, 0, 4, 0};
int16x8_t vones_y = {0, 1, 0, 1, 0, 1, 0, 1};
for(y1 = 0; y1 < BLOCK_SIZE; y1++, voff_y += vones_y)
{
int16x8_t* vrXY = (int16x8_t*)(XY + y1 * XY_step);
for(x1 = 0, voff_x = voff_y; x1 < BLOCK_SIZE; x1 += 4, vrXY++, voff_x += vones_x)
{
*vrXY += voff_x;
}
}
}
// process the block
for( y1 = 0; y1 < dy; y1++ )
{
uchar* dst_row = dst_data + (y + y1) * dst_step + x * cn;
const short* rXY = XY + y1 * XY_step;
if( cn == 1 )
{
for( x1 = 0; x1 < dx; x1++ )
{
int32x2_t vsxy = (int32x2_t){rXY[x1 * 2], rXY[x1 * 2 + 1]} + voff;
if( (long)((uint32x2_t)vsxy < (uint32x2_t)src_wh) == -1 )
dst_row[x1] = src_data[__nds__v_smar64(0, vsxy, arr_index)];
else
{
if( border_type == CV_HAL_BORDER_REPLICATE )
{
vsxy = vclip(vsxy, (int32x2_t){0, 0}, src_wh);
dst_row[x1] = src_data[__nds__v_smar64(0, vsxy, arr_index)];
}
else if( border_type == CV_HAL_BORDER_CONSTANT )
dst_row[x1] = border_const[0];
else if( border_type != CV_HAL_BORDER_TRANSPARENT )
{
vsxy[0] = borderInterpolate(vsxy[0], src_width, border_type);
vsxy[1] = borderInterpolate(vsxy[1], src_height, border_type);
dst_row[x1] = src_data[__nds__v_smar64(0, vsxy, arr_index)];
}
}
}
}
else
{
uchar* dst_ptr = dst_row;
for(x1 = 0; x1 < dx; x1++, dst_ptr += cn )
{
int32x2_t vsxy = (int32x2_t){rXY[x1 * 2], rXY[x1 * 2 + 1]} + voff;
const uchar *src_ptr;
if( (long)((uint32x2_t)vsxy < (uint32x2_t)src_wh) == -1 )
{
if( cn == 3 )
{
src_ptr = (uchar*)__nds__v_smar64((long)src_data, vsxy, arr_index);
dst_ptr[0] = src_ptr[0]; dst_ptr[1] = src_ptr[1]; dst_ptr[2] = src_ptr[2];
// performance loss, commented out
// *(unsigned*)dst_ptr = __nds__bpick(*(unsigned*)dst_ptr, *(unsigned*)src_ptr, 0xFF000000);
}
else if( cn == 4 )
{
src_ptr = (uchar*)__nds__v_smar64((long)src_data, vsxy, arr_index);
*(uint8x4_t*)dst_ptr = *(uint8x4_t*)src_ptr;
}
else
{
src_ptr = (uchar*)__nds__v_smar64((long)src_data, vsxy, arr_index);
int k = cn;
for(; k >= 8; k -= 8, dst_ptr += 8, src_ptr += 8)
*(uint8x8_t*)dst_ptr = *(uint8x8_t*)src_ptr;
while( k-- )
dst_ptr[k] = src_ptr[k];
}
}
else if( border_type != CV_HAL_BORDER_TRANSPARENT )
{
if( border_type == CV_HAL_BORDER_REPLICATE )
{
vsxy = vclip(vsxy, (int32x2_t){0, 0}, src_wh);
src_ptr = (uchar*)__nds__v_smar64((long)src_data, vsxy, arr_index);
}
else if( border_type == CV_HAL_BORDER_CONSTANT )
src_ptr = &border_const[0];
else
{
vsxy[0] = borderInterpolate(vsxy[0], src_width, border_type);
vsxy[1] = borderInterpolate(vsxy[1], src_height, border_type);
src_ptr = (uchar*)__nds__v_smar64((long)src_data, vsxy, arr_index);
}
int k = cn;
for(; k >= 8; k -= 8, dst_ptr += 8, src_ptr += 8)
*(uint8x8_t*)dst_ptr = *(uint8x8_t*)src_ptr;
while( k-- )
dst_ptr[k] = src_ptr[k];
}
}
}
}
}
}
return CV_HAL_ERROR_OK;
}
} // namespace ndsrvp
} // namespace cv
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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
#include "ndsrvp_hal.hpp"
#include "opencv2/imgproc/hal/interface.h"
#include "cvutils.hpp"
namespace cv {
namespace ndsrvp {
template <typename type, typename vtype>
struct opThreshBinary_t {
inline vtype vector(const vtype& src, const vtype& thresh, const vtype& maxval)
{
return (vtype)__nds__bpick((long)maxval, (long)0, (long)(src > thresh));
}
inline type scalar(const type& src, const type& thresh, const type& maxval)
{
return src > thresh ? maxval : 0;
}
};
template <typename type, typename vtype>
struct opThreshBinaryInv_t {
inline vtype vector(const vtype& src, const vtype& thresh, const vtype& maxval)
{
return (vtype)__nds__bpick((long)0, (long)maxval, (long)(src > thresh));
}
inline type scalar(const type& src, const type& thresh, const type& maxval)
{
return src > thresh ? 0 : maxval;
}
};
template <typename type, typename vtype>
struct opThreshTrunc_t {
inline vtype vector(const vtype& src, const vtype& thresh, const vtype& maxval)
{
(void)maxval;
return (vtype)__nds__bpick((long)thresh, (long)src, (long)(src > thresh));
}
inline type scalar(const type& src, const type& thresh, const type& maxval)
{
(void)maxval;
return src > thresh ? thresh : src;
}
};
template <typename type, typename vtype>
struct opThreshToZero_t {
inline vtype vector(const vtype& src, const vtype& thresh, const vtype& maxval)
{
(void)maxval;
return (vtype)__nds__bpick((long)src, (long)0, (long)(src > thresh));
}
inline type scalar(const type& src, const type& thresh, const type& maxval)
{
(void)maxval;
return src > thresh ? src : 0;
}
};
template <typename type, typename vtype>
struct opThreshToZeroInv_t {
inline vtype vector(const vtype& src, const vtype& thresh, const vtype& maxval)
{
(void)maxval;
return (vtype)__nds__bpick((long)0, (long)src, (long)(src > thresh));
}
inline type scalar(const type& src, const type& thresh, const type& maxval)
{
(void)maxval;
return src > thresh ? 0 : src;
}
};
template <typename type, typename vtype, int nlane,
template <typename ttype, typename vttype> typename opThresh_t>
static inline void threshold_op(const uchar* src, size_t src_step,
uchar* dst, size_t dst_step,
int width, int height, int cn,
double thresh_d, double maxval_d)
{
int i, j;
width *= cn;
type* src_data = (type*)src;
type* dst_data = (type*)dst;
src_step /= sizeof(type);
dst_step /= sizeof(type);
type thresh = saturate_cast<type>(thresh_d);
type maxval = saturate_cast<type>(maxval_d);
vtype vthresh;
vtype vmaxval;
for (i = 0; i < nlane; i++) {
vthresh[i] = thresh;
vmaxval[i] = maxval;
}
opThresh_t<type, vtype> opThresh;
for (i = 0; i < height; i++, src_data += src_step, dst_data += dst_step) {
for (j = 0; j <= width - nlane; j += nlane) {
*(vtype*)(dst_data + j) = opThresh.vector(*(vtype*)(src_data + j), vthresh, vmaxval);
}
for (; j < width; j++) {
dst_data[j] = opThresh.scalar(src_data[j], thresh, maxval);
}
}
return;
}
typedef void (*ThreshFunc)(const uchar* src_data, size_t src_step,
uchar* dst_data, size_t dst_step,
int width, int height, int cn,
double thresh, double maxval);
int threshold(const uchar* src_data, size_t src_step,
uchar* dst_data, size_t dst_step,
int width, int height, int depth, int cn,
double thresh, double maxValue, int thresholdType)
{
static ThreshFunc thfuncs[4][5] =
{
{
threshold_op<uchar, uint8x8_t, 8, opThreshBinary_t>,
threshold_op<uchar, uint8x8_t, 8, opThreshBinaryInv_t>,
threshold_op<uchar, uint8x8_t, 8, opThreshTrunc_t>,
threshold_op<uchar, uint8x8_t, 8, opThreshToZero_t>,
threshold_op<uchar, uint8x8_t, 8, opThreshToZeroInv_t> },
{
threshold_op<char, int8x8_t, 8, opThreshBinary_t>,
threshold_op<char, int8x8_t, 8, opThreshBinaryInv_t>,
threshold_op<char, int8x8_t, 8, opThreshTrunc_t>,
threshold_op<char, int8x8_t, 8, opThreshToZero_t>,
threshold_op<char, int8x8_t, 8, opThreshToZeroInv_t> },
{
threshold_op<ushort, uint16x4_t, 4, opThreshBinary_t>,
threshold_op<ushort, uint16x4_t, 4, opThreshBinaryInv_t>,
threshold_op<ushort, uint16x4_t, 4, opThreshTrunc_t>,
threshold_op<ushort, uint16x4_t, 4, opThreshToZero_t>,
threshold_op<ushort, uint16x4_t, 4, opThreshToZeroInv_t> },
{
threshold_op<short, int16x4_t, 4, opThreshBinary_t>,
threshold_op<short, int16x4_t, 4, opThreshBinaryInv_t>,
threshold_op<short, int16x4_t, 4, opThreshTrunc_t>,
threshold_op<short, int16x4_t, 4, opThreshToZero_t>,
threshold_op<short, int16x4_t, 4, opThreshToZeroInv_t> }
};
if(depth < 0 || depth > 3 || thresholdType < 0 || thresholdType > 4 || (width < 256 && height < 256))
return CV_HAL_ERROR_NOT_IMPLEMENTED;
thfuncs[depth][thresholdType](src_data, src_step, dst_data, dst_step, width, height, cn, thresh, maxValue);
return CV_HAL_ERROR_OK;
}
} // namespace ndsrvp
} // namespace cv
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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
#include "ndsrvp_hal.hpp"
#include "opencv2/imgproc/hal/interface.h"
#include "cvutils.hpp"
namespace cv {
namespace ndsrvp {
int warpAffineBlocklineNN(int *adelta, int *bdelta, short* xy, int X0, int Y0, int bw)
{
const int AB_BITS = MAX(10, (int)INTER_BITS);
int x1 = 0;
for (; x1 < bw; x1 += 2) {
int32x2_t vX = { X0 + adelta[x1], X0 + adelta[x1 + 1] };
int32x2_t vY = { Y0 + bdelta[x1], Y0 + bdelta[x1 + 1] };
vX = __nds__v_sclip32(__nds__v_sra32(vX, AB_BITS), 15);
vY = __nds__v_sclip32(__nds__v_sra32(vY, AB_BITS), 15);
*(uint16x4_t*)(xy + x1 * 2) = (uint16x4_t)__nds__pkbb16((unsigned long)vY, (unsigned long)vX);
}
for (; x1 < bw; x1++) {
int X = X0 + adelta[x1];
int Y = Y0 + bdelta[x1];
xy[x1 * 2] = saturate_cast<short>(X);
xy[x1 * 2 + 1] = saturate_cast<short>(Y);
}
return CV_HAL_ERROR_OK;
}
int warpAffineBlockline(int *adelta, int *bdelta, short* xy, short* alpha, int X0, int Y0, int bw)
{
const int AB_BITS = MAX(10, (int)INTER_BITS);
int x1 = 0;
const int INTER_MASK = INTER_TAB_SIZE - 1;
const uint32x2_t vmask = { INTER_MASK, INTER_MASK };
for (; x1 < bw; x1 += 2) {
int32x2_t vX = { X0 + adelta[x1], X0 + adelta[x1 + 1] };
int32x2_t vY = { Y0 + bdelta[x1], Y0 + bdelta[x1 + 1] };
vX = __nds__v_sra32(vX, (AB_BITS - INTER_BITS));
vY = __nds__v_sra32(vY, (AB_BITS - INTER_BITS));
int32x2_t vx = __nds__v_sclip32(__nds__v_sra32(vX, INTER_BITS), 15);
int32x2_t vy = __nds__v_sclip32(__nds__v_sra32(vY, INTER_BITS), 15);
*(uint16x4_t*)(xy + x1 * 2) = (uint16x4_t)__nds__pkbb16((unsigned long)vy, (unsigned long)vx);
uint32x2_t valpha = __nds__v_uadd32(__nds__v_sll32((uint32x2_t)(vY & vmask), INTER_BITS), (uint32x2_t)(vX & vmask));
*(int16x2_t*)(alpha + x1) = (int16x2_t) { (short)(valpha[0]), (short)(valpha[1]) };
}
for (; x1 < bw; x1++) {
int X = X0 + adelta[x1];
int Y = Y0 + bdelta[x1];
xy[x1 * 2] = saturate_cast<short>(X >> INTER_BITS);
xy[x1 * 2 + 1] = saturate_cast<short>(Y >> INTER_BITS);
alpha[x1] = (short)((Y & INTER_MASK) * INTER_TAB_SIZE + (X & INTER_MASK));
}
return CV_HAL_ERROR_OK;
}
} // namespace ndsrvp
} // namespace cv
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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
#include "ndsrvp_hal.hpp"
#include "opencv2/imgproc/hal/interface.h"
#include "cvutils.hpp"
namespace cv {
namespace ndsrvp {
int warpPerspectiveBlocklineNN(const double *M, short* xy, double X0, double Y0, double W0, int bw)
{
int x1 = 0;
for (; x1 < bw; x1 += 2) {
double W1 = W0 + M[6] * x1, W2 = W1 + M[6];
W1 = W1 ? 1. / W1 : 0;
W2 = W2 ? 1. / W2 : 0;
double fX1 = std::max((double)INT_MIN, std::min((double)INT_MAX, (X0 + M[0] * x1) * W1));
double fX2 = std::max((double)INT_MIN, std::min((double)INT_MAX, (X0 + M[0] * (x1 + 1)) * W2));
double fY1 = std::max((double)INT_MIN, std::min((double)INT_MAX, (Y0 + M[3] * x1) * W1));
double fY2 = std::max((double)INT_MIN, std::min((double)INT_MAX, (Y0 + M[3] * (x1 + 1)) * W2));
int32x2_t vX = {saturate_cast<int>(fX1), saturate_cast<int>(fX2)};
int32x2_t vY = {saturate_cast<int>(fY1), saturate_cast<int>(fY2)};
vX = __nds__v_sclip32(vX, 15);
vY = __nds__v_sclip32(vY, 15);
*(uint16x4_t*)(xy + x1 * 2) = (uint16x4_t)__nds__pkbb16((unsigned long)vY, (unsigned long)vX);
}
for (; x1 < bw; x1++) {
double W = W0 + M[6] * x1;
W = W ? 1. / W : 0;
double fX = std::max((double)INT_MIN, std::min((double)INT_MAX, (X0 + M[0] * x1) * W));
double fY = std::max((double)INT_MIN, std::min((double)INT_MAX, (Y0 + M[3] * x1) * W));
int X = saturate_cast<int>(fX);
int Y = saturate_cast<int>(fY);
xy[x1 * 2] = saturate_cast<short>(X);
xy[x1 * 2 + 1] = saturate_cast<short>(Y);
}
return CV_HAL_ERROR_OK;
}
int warpPerspectiveBlockline(const double *M, short* xy, short* alpha, double X0, double Y0, double W0, int bw)
{
int x1 = 0;
const int INTER_MASK = INTER_TAB_SIZE - 1;
const uint32x2_t vmask = { INTER_MASK, INTER_MASK };
for (; x1 < bw; x1 += 2) {
double W1 = W0 + M[6] * x1, W2 = W1 + M[6];
W1 = W1 ? INTER_TAB_SIZE / W1 : 0;
W2 = W2 ? INTER_TAB_SIZE / W2 : 0;
double fX1 = std::max((double)INT_MIN, std::min((double)INT_MAX, (X0 + M[0] * x1) * W1));
double fX2 = std::max((double)INT_MIN, std::min((double)INT_MAX, (X0 + M[0] * (x1 + 1)) * W2));
double fY1 = std::max((double)INT_MIN, std::min((double)INT_MAX, (Y0 + M[3] * x1) * W1));
double fY2 = std::max((double)INT_MIN, std::min((double)INT_MAX, (Y0 + M[3] * (x1 + 1)) * W2));
int32x2_t vX = {saturate_cast<int>(fX1), saturate_cast<int>(fX2)};
int32x2_t vY = {saturate_cast<int>(fY1), saturate_cast<int>(fY2)};
int32x2_t vx = __nds__v_sclip32(__nds__v_sra32(vX, INTER_BITS), 15);
int32x2_t vy = __nds__v_sclip32(__nds__v_sra32(vY, INTER_BITS), 15);
*(uint16x4_t*)(xy + x1 * 2) = (uint16x4_t)__nds__pkbb16((unsigned long)vy, (unsigned long)vx);
uint32x2_t valpha = __nds__v_uadd32(__nds__v_sll32((uint32x2_t)(vY & vmask), INTER_BITS), (uint32x2_t)(vX & vmask));
*(int16x2_t*)(alpha + x1) = (int16x2_t) { (short)(valpha[0]), (short)(valpha[1]) };
}
for (; x1 < bw; x1++) {
double W = W0 + M[6] * x1;
W = W ? INTER_TAB_SIZE / W : 0;
double fX = std::max((double)INT_MIN, std::min((double)INT_MAX, (X0 + M[0] * x1) * W));
double fY = std::max((double)INT_MIN, std::min((double)INT_MAX, (Y0 + M[3] * x1) * W));
int X = saturate_cast<int>(fX);
int Y = saturate_cast<int>(fY);
xy[x1 * 2] = saturate_cast<short>(X >> INTER_BITS);
xy[x1 * 2 + 1] = saturate_cast<short>(Y >> INTER_BITS);
alpha[x1] = (short)((Y & INTER_MASK) * INTER_TAB_SIZE + (X & INTER_MASK));
}
return CV_HAL_ERROR_OK;
}
} // namespace ndsrvp
} // namespace cv
+9
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@@ -0,0 +1,9 @@
cmake_minimum_required(VERSION ${MIN_VER_CMAKE} FATAL_ERROR)
set(HAL_LIB_NAME "")
set(RVV_HAL_FOUND TRUE CACHE INTERNAL "")
set(RVV_HAL_VERSION "0.0.1" CACHE INTERNAL "")
set(RVV_HAL_LIBRARIES ${HAL_LIB_NAME} CACHE INTERNAL "")
set(RVV_HAL_HEADERS "hal_rvv.hpp" CACHE INTERNAL "")
set(RVV_HAL_INCLUDE_DIRS "${CMAKE_CURRENT_SOURCE_DIR}" "${CMAKE_SOURCE_DIR}/modules/imgproc/include" CACHE INTERNAL "")
+65
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@@ -0,0 +1,65 @@
// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
#ifndef OPENCV_HAL_RVV_HPP_INCLUDED
#define OPENCV_HAL_RVV_HPP_INCLUDED
#include "opencv2/core/base.hpp"
#include "opencv2/core/hal/interface.h"
#include "opencv2/imgproc/hal/interface.h"
#ifndef CV_HAL_RVV_071_ENABLED
# if defined(__GNUC__) && __GNUC__ == 10 && __GNUC_MINOR__ == 4 && defined(__THEAD_VERSION__) && defined(__riscv_v) && __riscv_v == 7000
# define CV_HAL_RVV_071_ENABLED 1
# else
# define CV_HAL_RVV_071_ENABLED 0
# endif
#endif
#if CV_HAL_RVV_071_ENABLED
#include "version/hal_rvv_071.hpp"
#endif
#if defined(__riscv_v) && __riscv_v == 1000000
#include "hal_rvv_1p0/types.hpp"
#include "hal_rvv_1p0/merge.hpp" // core
#include "hal_rvv_1p0/mean.hpp" // core
#include "hal_rvv_1p0/dxt.hpp" // core
#include "hal_rvv_1p0/norm.hpp" // core
#include "hal_rvv_1p0/norm_diff.hpp" // core
#include "hal_rvv_1p0/norm_hamming.hpp" // core
#include "hal_rvv_1p0/convert_scale.hpp" // core
#include "hal_rvv_1p0/minmax.hpp" // core
#include "hal_rvv_1p0/atan.hpp" // core
#include "hal_rvv_1p0/split.hpp" // core
#include "hal_rvv_1p0/magnitude.hpp" // core
#include "hal_rvv_1p0/cart_to_polar.hpp" // core
#include "hal_rvv_1p0/polar_to_cart.hpp" // core
#include "hal_rvv_1p0/flip.hpp" // core
#include "hal_rvv_1p0/lut.hpp" // core
#include "hal_rvv_1p0/exp.hpp" // core
#include "hal_rvv_1p0/log.hpp" // core
#include "hal_rvv_1p0/lu.hpp" // core
#include "hal_rvv_1p0/cholesky.hpp" // core
#include "hal_rvv_1p0/qr.hpp" // core
#include "hal_rvv_1p0/svd.hpp" // core
#include "hal_rvv_1p0/sqrt.hpp" // core
#include "hal_rvv_1p0/copy_mask.hpp" // core
#include "hal_rvv_1p0/div.hpp" // core
#include "hal_rvv_1p0/dotprod.hpp" // core
#include "hal_rvv_1p0/compare.hpp" // core
#include "hal_rvv_1p0/transpose.hpp" // core
#include "hal_rvv_1p0/moments.hpp" // imgproc
#include "hal_rvv_1p0/filter.hpp" // imgproc
#include "hal_rvv_1p0/pyramids.hpp" // imgproc
#include "hal_rvv_1p0/color.hpp" // imgproc
#include "hal_rvv_1p0/warp.hpp" // imgproc
#include "hal_rvv_1p0/thresh.hpp" // imgproc
#include "hal_rvv_1p0/histogram.hpp" // imgproc
#include "hal_rvv_1p0/resize.hpp" // imgproc
#include "hal_rvv_1p0/integral.hpp" // imgproc
#endif
#endif

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