commit 19cafad13b92955ad97a325e8471227a0cc56907 Author: hongshaorou Date: Sat Jul 11 18:11:03 2026 +0800 first commit diff --git a/CMakeLists.txt b/CMakeLists.txt new file mode 100644 index 0000000..5581ab1 --- /dev/null +++ b/CMakeLists.txt @@ -0,0 +1,67 @@ +cmake_minimum_required(VERSION 3.10) +project(FaceDetectionApp) + +# 设置 C++ 标准 +set(CMAKE_CXX_STANDARD 11) +set(CMAKE_CXX_STANDARD_REQUIRED True) + +# 若未指定构建类型，默认使用 Release +if(NOT CMAKE_BUILD_TYPE) + set(CMAKE_BUILD_TYPE Release CACHE STRING "Build type" FORCE) +endif() + +# 默认导出 compile_commands.json（便于 IDE/clangd 索引） +set(CMAKE_EXPORT_COMPILE_COMMANDS ON) + +# ============================================================================ +# 0. SIMD 加速选项（作用于 libfacedetection 动态库） +# X86/X64 CPU: cmake -DENABLE_AVX2=ON 或 -DENABLE_AVX512=ON +# ARM CPU: cmake -DENABLE_NEON=ON +# 开启后会自动定义对应宏并添加编译器指令集标志，无需手动改头文件。 +# AVX512 / AVX2 / NEON 三者互斥（与头文件中的 #error 检查一致）。 +# ============================================================================ +set(ENABLE_AVX2 ON CACHE BOOL "Enable AVX2 acceleration (X64 CPU)") +set(ENABLE_AVX512 OFF CACHE BOOL "Enable AVX512 acceleration (X64 CPU)") +set(ENABLE_NEON OFF CACHE BOOL "Enable NEON acceleration (ARM CPU)") + +# 三者最多只能开启其中一个 +set(_SIMD_ENABLED_COUNT 0) +foreach(_simd_opt ENABLE_AVX512 ENABLE_AVX2 ENABLE_NEON) + if(${_simd_opt}) + math(EXPR _SIMD_ENABLED_COUNT "${_SIMD_ENABLED_COUNT} + 1") + endif() +endforeach() +if(_SIMD_ENABLED_COUNT GREATER 1) + message(FATAL_ERROR "ENABLE_AVX512 / ENABLE_AVX2 / ENABLE_NEON 三者互斥，最多只能开启其中一个。") +endif() + +# 检测编译器是否支持 -mfpu=neon： +# - 32 位 ARM (armhf) 需要该标志才能使用 arm_neon.h 内联函数； +# - AArch64 下 NEON 默认开启，x86 不识别该标志，这两种情况检测结果均为否。 +include(CheckCXXCompilerFlag) +check_cxx_compiler_flag("-mfpu=neon" CXX_HAS_MFPU_NEON) + +# ============================================================================ +# 1. 依赖查找 +# ============================================================================ +find_package(OpenCV REQUIRED) # app / network_camera_receiver 需要 +find_package(OpenMP) # libfacedetection 可选加速 +find_package(Threads REQUIRED) # network_camera_receiver 后台线程 / app + +message(STATUS "Found OpenCV Version: ${OpenCV_VERSION}") +if(OpenMP_FOUND) + message(STATUS "Found OpenMP CXX: ${OpenMP_CXX_VERSION}") +else() + message(STATUS "OpenMP not found, building without OpenMP support.") +endif() +message(STATUS "Threads library enabled.") + +# ============================================================================ +# 2. 子模块 +# libfacedetection -> SHARED 动态库（人脸检测） +# network_camera_receiver-> STATIC 静态库（仅抓帧） +# app -> 可执行程序（编排 收帧->检测->显示） +# ============================================================================ +add_subdirectory(libfacedetection) +add_subdirectory(network_camera_receiver) +add_subdirectory(app) diff --git a/app/CMakeLists.txt b/app/CMakeLists.txt new file mode 100644 index 0000000..f190f63 --- /dev/null +++ b/app/CMakeLists.txt @@ -0,0 +1,28 @@ +# ============================================================================ +# app —— 主可执行程序 +# 编排流程：1. 从 network_camera_receiver 取最新帧； +# 2. 调用 libfacedetection 检测； +# 3. 绘制并显示结果。 +# ============================================================================ + +add_executable(face_detection_app + src/main.cpp +) + +# 链接动态库 facedetection（传递其 PUBLIC include 目录）与静态库 receiver +target_link_libraries(face_detection_app PRIVATE + facedetection + network_camera_receiver + ${OpenCV_LIBS} +) + +# 将项目根目录作为宏传给代码，便于用绝对路径访问 resources 等资源文件 +target_compile_definitions(face_detection_app PRIVATE + SOURCE_ROOT="${CMAKE_SOURCE_DIR}" +) + +if(CMAKE_CXX_COMPILER_ID MATCHES "GNU|Clang") + target_compile_options(face_detection_app PRIVATE -O3) +elseif(MSVC) + target_compile_options(face_detection_app PRIVATE /O2) +endif() diff --git a/app/src/main.cpp b/app/src/main.cpp new file mode 100644 index 0000000..33fc4b8 --- /dev/null +++ b/app/src/main.cpp @@ -0,0 +1,98 @@ +/* + * @Author: Liu zhenyu + * @Description: 主程序（重构版） + * 流程：1. 从 network_camera_receiver 取最新帧； + * 2. 调用 libfacedetection 进行人脸检测； + * 3. 绘制并显示检测结果。 + * libfacedetection 以独立动态库形式链接。 + */ + +#include +#include +#include + +#include "network_camera_receiver.h" +#include "facedetectcnn.h" + +// 将 libfacedetection 的检测结果绘制到帧上 +// pResults[0] = 人脸数量；其后每张脸占 FACEDETECTION_RESULT_STRIDE_SHORTS 个 short +static void drawFaces(cv::Mat& frame, const int* pResults) { + if (!pResults) return; + int faces = pResults[0]; + + for (int i = 0; i < faces; i++) { + // 每个人脸结果占用 FACEDETECTION_RESULT_STRIDE_SHORTS(=16) 个 short： + // p[0]=置信度(score*100), p[1..4]=x/y/w/h, + // p[5..14]=5个关键点(x,y交替), p[15]=对齐填充 + short* p = ((short*)(pResults + 1)) + FACEDETECTION_RESULT_STRIDE_SHORTS * i; + + int confidence = p[0]; + int x = p[1]; + int y = p[2]; + int w = p[3]; + int h = p[4]; + + // 只显示置信度大于 60 的结果以过滤误检 + if (confidence > 60) { + cv::rectangle(frame, cv::Rect(x, y, w, h), cv::Scalar(0, 255, 0), 2); + + // 置信度标注 + cv::putText(frame, std::to_string(confidence), + cv::Point(x, y - 5), cv::FONT_HERSHEY_SIMPLEX, + 0.5, cv::Scalar(0, 255, 0), 1); + + // 五个特征点 + cv::circle(frame, cv::Point(p[5], p[6]), 2, cv::Scalar(255, 0, 0), -1); + cv::circle(frame, cv::Point(p[7], p[8]), 2, cv::Scalar(0, 0, 255), -1); + cv::circle(frame, cv::Point(p[9], p[10]), 2, cv::Scalar(0, 255, 0), -1); + cv::circle(frame, cv::Point(p[11], p[12]), 2, cv::Scalar(255, 0, 255), -1); + cv::circle(frame, cv::Point(p[13], p[14]), 2, cv::Scalar(0, 255, 255), -1); + } + } +} + +int main() { + // 替换为你查到的视频流宿主机 IP + std::string host_ip = "127.0.0.1"; + + // 1) 接收端：仅负责抓帧 + NetworkCameraReceiver receiver(host_ip, 5000); + if (!receiver.connect()) { + std::cerr << "连接视频流失败，退出。" << std::endl; + return -1; + } + receiver.start(); // 启动后台抓帧线程 + + // libfacedetection 结果缓冲区（大小由库定义的宏决定） + unsigned char* pBuffer = new unsigned char[FACEDETECTION_RESULT_BUFFER_SIZE]; + + const std::string window_name = "Face Detection"; + cv::namedWindow(window_name, cv::WINDOW_AUTOSIZE); + + std::cout << "人脸检测已启动，按 ESC 退出..." << std::endl; + + cv::Mat frame; + while (true) { + // ---- 步骤 1：接收最新帧 ---- + if (receiver.getLatestFrame(frame) && !frame.empty()) { + // ---- 步骤 2：调用 libfacedetection 检测 ---- + // 注意：OpenCV 采集到的帧为 BGR，正好符合 facedetect_cnn 的输入要求 + int* pResults = facedetect_cnn(pBuffer, + frame.data, + frame.cols, + frame.rows, + (int)frame.step); + + // ---- 步骤 3：显示检测结果 ---- + drawFaces(frame, pResults); + cv::imshow(window_name, frame); + } + + if (cv::waitKey(30) == 27) break; // ESC 退出 + } + + receiver.stop(); + delete[] pBuffer; + cv::destroyAllWindows(); + return 0; +} diff --git a/build/.cmake/api/v1/query/client-vscode/query.json b/build/.cmake/api/v1/query/client-vscode/query.json new file mode 100644 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COMPILER_VERSION_INTERNAL_STR __clang_version__ + + +#elif defined(__FUJITSU) +# define COMPILER_ID "Fujitsu" +# if defined(__FCC_version__) +# define COMPILER_VERSION __FCC_version__ +# elif defined(__FCC_major__) +# define COMPILER_VERSION_MAJOR DEC(__FCC_major__) +# define COMPILER_VERSION_MINOR DEC(__FCC_minor__) +# define COMPILER_VERSION_PATCH DEC(__FCC_patchlevel__) +# endif +# if defined(__fcc_version) +# define COMPILER_VERSION_INTERNAL DEC(__fcc_version) +# elif defined(__FCC_VERSION) +# define COMPILER_VERSION_INTERNAL DEC(__FCC_VERSION) +# endif + + +#elif defined(__ghs__) +# define COMPILER_ID "GHS" +/* __GHS_VERSION_NUMBER = VVVVRP */ +# ifdef __GHS_VERSION_NUMBER +# define COMPILER_VERSION_MAJOR DEC(__GHS_VERSION_NUMBER / 100) +# define COMPILER_VERSION_MINOR DEC(__GHS_VERSION_NUMBER / 10 % 10) +# define COMPILER_VERSION_PATCH DEC(__GHS_VERSION_NUMBER % 10) +# endif + +#elif defined(__TINYC__) +# define COMPILER_ID "TinyCC" + +#elif defined(__BCC__) +# define COMPILER_ID 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defined(_MSC_VER) + /* _MSC_VER = VVRR */ +# define SIMULATE_VERSION_MAJOR DEC(_MSC_VER / 100) +# define SIMULATE_VERSION_MINOR DEC(_MSC_VER % 100) +# endif +# define COMPILER_VERSION_TWEAK DEC(__apple_build_version__) + +#elif defined(__clang__) && defined(__ARMCOMPILER_VERSION) +# define COMPILER_ID "ARMClang" + # define COMPILER_VERSION_MAJOR DEC(__ARMCOMPILER_VERSION/1000000) + # define COMPILER_VERSION_MINOR DEC(__ARMCOMPILER_VERSION/10000 % 100) + # define COMPILER_VERSION_PATCH DEC(__ARMCOMPILER_VERSION % 10000) +# define COMPILER_VERSION_INTERNAL DEC(__ARMCOMPILER_VERSION) + +#elif defined(__clang__) +# define COMPILER_ID "Clang" +# if defined(_MSC_VER) +# define SIMULATE_ID "MSVC" +# endif +# define COMPILER_VERSION_MAJOR DEC(__clang_major__) +# define COMPILER_VERSION_MINOR DEC(__clang_minor__) +# define COMPILER_VERSION_PATCH DEC(__clang_patchlevel__) +# if defined(_MSC_VER) + /* _MSC_VER = VVRR */ +# define SIMULATE_VERSION_MAJOR DEC(_MSC_VER / 100) +# define SIMULATE_VERSION_MINOR DEC(_MSC_VER % 100) +# endif + +#elif defined(__GNUC__) +# define COMPILER_ID "GNU" +# define COMPILER_VERSION_MAJOR DEC(__GNUC__) +# if defined(__GNUC_MINOR__) +# define COMPILER_VERSION_MINOR DEC(__GNUC_MINOR__) +# endif +# if defined(__GNUC_PATCHLEVEL__) +# define COMPILER_VERSION_PATCH DEC(__GNUC_PATCHLEVEL__) +# endif + +#elif defined(_MSC_VER) +# define COMPILER_ID "MSVC" + /* _MSC_VER = VVRR */ +# define COMPILER_VERSION_MAJOR DEC(_MSC_VER / 100) +# define COMPILER_VERSION_MINOR DEC(_MSC_VER % 100) +# if defined(_MSC_FULL_VER) +# if _MSC_VER >= 1400 + /* _MSC_FULL_VER = VVRRPPPPP */ +# define COMPILER_VERSION_PATCH DEC(_MSC_FULL_VER % 100000) +# else + /* _MSC_FULL_VER = VVRRPPPP */ +# define COMPILER_VERSION_PATCH DEC(_MSC_FULL_VER % 10000) +# endif +# endif +# if defined(_MSC_BUILD) +# define COMPILER_VERSION_TWEAK DEC(_MSC_BUILD) +# endif + +#elif defined(__VISUALDSPVERSION__) || defined(__ADSPBLACKFIN__) || defined(__ADSPTS__) || defined(__ADSP21000__) +# define COMPILER_ID "ADSP" +#if defined(__VISUALDSPVERSION__) + /* __VISUALDSPVERSION__ = 0xVVRRPP00 */ +# define COMPILER_VERSION_MAJOR HEX(__VISUALDSPVERSION__>>24) +# define COMPILER_VERSION_MINOR HEX(__VISUALDSPVERSION__>>16 & 0xFF) +# define COMPILER_VERSION_PATCH HEX(__VISUALDSPVERSION__>>8 & 0xFF) +#endif + +#elif defined(__IAR_SYSTEMS_ICC__) || defined(__IAR_SYSTEMS_ICC) +# define COMPILER_ID "IAR" +# if defined(__VER__) && defined(__ICCARM__) +# define COMPILER_VERSION_MAJOR DEC((__VER__) / 1000000) +# define COMPILER_VERSION_MINOR DEC(((__VER__) / 1000) % 1000) +# define COMPILER_VERSION_PATCH DEC((__VER__) % 1000) +# define COMPILER_VERSION_INTERNAL DEC(__IAR_SYSTEMS_ICC__) +# elif defined(__VER__) && (defined(__ICCAVR__) || defined(__ICCRX__) || defined(__ICCRH850__) || defined(__ICCRL78__) || defined(__ICC430__) || defined(__ICCRISCV__) || defined(__ICCV850__) || defined(__ICC8051__) || defined(__ICCSTM8__)) +# define COMPILER_VERSION_MAJOR DEC((__VER__) / 100) +# define COMPILER_VERSION_MINOR DEC((__VER__) - (((__VER__) / 100)*100)) +# define COMPILER_VERSION_PATCH DEC(__SUBVERSION__) +# define COMPILER_VERSION_INTERNAL DEC(__IAR_SYSTEMS_ICC__) +# endif + +#elif defined(__SDCC_VERSION_MAJOR) || defined(SDCC) +# define COMPILER_ID "SDCC" +# if defined(__SDCC_VERSION_MAJOR) +# define COMPILER_VERSION_MAJOR DEC(__SDCC_VERSION_MAJOR) +# define COMPILER_VERSION_MINOR DEC(__SDCC_VERSION_MINOR) +# define COMPILER_VERSION_PATCH DEC(__SDCC_VERSION_PATCH) +# else + /* SDCC = VRP */ +# define COMPILER_VERSION_MAJOR DEC(SDCC/100) +# define COMPILER_VERSION_MINOR DEC(SDCC/10 % 10) +# define COMPILER_VERSION_PATCH DEC(SDCC % 10) +# endif + + +/* These compilers are either not known or too old to define an + identification macro. Try to identify the platform and guess that + it is the native compiler. */ +#elif defined(__hpux) || defined(__hpua) +# define COMPILER_ID "HP" + +#else /* unknown compiler */ +# define COMPILER_ID "" +#endif + +/* Construct the string literal in pieces to prevent the source from + getting matched. Store it in a pointer rather than an array + because some compilers will just produce instructions to fill the + array rather than assigning a pointer to a static array. */ +char const* info_compiler = "INFO" ":" "compiler[" COMPILER_ID "]"; +#ifdef SIMULATE_ID +char const* info_simulate = "INFO" ":" "simulate[" SIMULATE_ID "]"; +#endif + +#ifdef __QNXNTO__ +char const* qnxnto = "INFO" ":" "qnxnto[]"; +#endif + +#if defined(__CRAYXT_COMPUTE_LINUX_TARGET) +char const *info_cray = "INFO" ":" "compiler_wrapper[CrayPrgEnv]"; +#endif + +#define STRINGIFY_HELPER(X) #X +#define STRINGIFY(X) STRINGIFY_HELPER(X) + +/* Identify known platforms by name. */ +#if defined(__linux) || defined(__linux__) || defined(linux) +# define PLATFORM_ID "Linux" + +#elif defined(__MSYS__) +# define PLATFORM_ID "MSYS" + +#elif defined(__CYGWIN__) +# define PLATFORM_ID "Cygwin" + +#elif defined(__MINGW32__) +# define PLATFORM_ID "MinGW" + +#elif defined(__APPLE__) +# define PLATFORM_ID "Darwin" + +#elif defined(_WIN32) || defined(__WIN32__) || defined(WIN32) +# define PLATFORM_ID "Windows" + +#elif defined(__FreeBSD__) || defined(__FreeBSD) +# define PLATFORM_ID "FreeBSD" + +#elif defined(__NetBSD__) || defined(__NetBSD) +# define PLATFORM_ID "NetBSD" + +#elif defined(__OpenBSD__) || defined(__OPENBSD) +# define PLATFORM_ID "OpenBSD" + +#elif defined(__sun) || defined(sun) +# define PLATFORM_ID "SunOS" + +#elif defined(_AIX) || defined(__AIX) || defined(__AIX__) || defined(__aix) || defined(__aix__) +# define PLATFORM_ID "AIX" + +#elif defined(__hpux) || defined(__hpux__) +# define PLATFORM_ID "HP-UX" + +#elif defined(__HAIKU__) +# define PLATFORM_ID "Haiku" + +#elif defined(__BeOS) || defined(__BEOS__) || defined(_BEOS) +# define PLATFORM_ID "BeOS" + +#elif defined(__QNX__) || defined(__QNXNTO__) +# define PLATFORM_ID "QNX" + +#elif defined(__tru64) || defined(_tru64) || defined(__TRU64__) +# define PLATFORM_ID "Tru64" + +#elif defined(__riscos) || defined(__riscos__) +# define PLATFORM_ID "RISCos" + +#elif defined(__sinix) || defined(__sinix__) || defined(__SINIX__) +# define PLATFORM_ID "SINIX" + +#elif defined(__UNIX_SV__) +# define PLATFORM_ID "UNIX_SV" + +#elif defined(__bsdos__) +# define PLATFORM_ID "BSDOS" + +#elif defined(_MPRAS) || defined(MPRAS) +# define PLATFORM_ID "MP-RAS" + +#elif defined(__osf) || defined(__osf__) +# define PLATFORM_ID "OSF1" + +#elif defined(_SCO_SV) || defined(SCO_SV) || defined(sco_sv) +# define PLATFORM_ID "SCO_SV" + +#elif defined(__ultrix) || defined(__ultrix__) || defined(_ULTRIX) +# define PLATFORM_ID "ULTRIX" + +#elif defined(__XENIX__) || defined(_XENIX) || defined(XENIX) +# define PLATFORM_ID "Xenix" + +#elif defined(__WATCOMC__) +# if defined(__LINUX__) +# define PLATFORM_ID "Linux" + +# elif defined(__DOS__) +# define PLATFORM_ID "DOS" + +# elif defined(__OS2__) +# define PLATFORM_ID "OS2" + +# elif defined(__WINDOWS__) +# define PLATFORM_ID "Windows3x" + +# elif defined(__VXWORKS__) +# define PLATFORM_ID "VxWorks" + +# else /* unknown platform */ +# define PLATFORM_ID +# endif + +#elif defined(__INTEGRITY) +# if defined(INT_178B) +# define PLATFORM_ID "Integrity178" + +# else /* regular Integrity */ +# define PLATFORM_ID "Integrity" +# endif + +#else /* unknown platform */ +# define PLATFORM_ID + +#endif + +/* For windows compilers MSVC and Intel we can determine + the architecture of the compiler being used. This is because + the compilers do not have flags that can change the architecture, + but rather depend on which compiler is being used +*/ +#if defined(_WIN32) && defined(_MSC_VER) +# if defined(_M_IA64) +# define ARCHITECTURE_ID "IA64" + +# elif defined(_M_ARM64EC) +# define ARCHITECTURE_ID "ARM64EC" + +# elif defined(_M_X64) || defined(_M_AMD64) +# define ARCHITECTURE_ID "x64" + +# elif defined(_M_IX86) +# define ARCHITECTURE_ID "X86" + +# elif defined(_M_ARM64) +# define ARCHITECTURE_ID "ARM64" + +# elif defined(_M_ARM) +# if _M_ARM == 4 +# define ARCHITECTURE_ID "ARMV4I" +# elif _M_ARM == 5 +# define ARCHITECTURE_ID "ARMV5I" +# else +# define ARCHITECTURE_ID "ARMV" STRINGIFY(_M_ARM) +# endif + +# elif defined(_M_MIPS) +# define ARCHITECTURE_ID "MIPS" + +# elif defined(_M_SH) +# define ARCHITECTURE_ID "SHx" + +# else /* unknown architecture */ +# define ARCHITECTURE_ID "" +# endif + +#elif defined(__WATCOMC__) +# if defined(_M_I86) +# define ARCHITECTURE_ID "I86" + +# elif defined(_M_IX86) +# define ARCHITECTURE_ID "X86" + +# else /* unknown architecture */ +# define ARCHITECTURE_ID "" +# endif + +#elif defined(__IAR_SYSTEMS_ICC__) || defined(__IAR_SYSTEMS_ICC) +# if defined(__ICCARM__) +# define ARCHITECTURE_ID "ARM" + +# elif defined(__ICCRX__) +# define ARCHITECTURE_ID "RX" + +# elif defined(__ICCRH850__) +# define ARCHITECTURE_ID "RH850" + +# elif defined(__ICCRL78__) +# define ARCHITECTURE_ID "RL78" + +# elif defined(__ICCRISCV__) +# define ARCHITECTURE_ID "RISCV" + +# elif defined(__ICCAVR__) +# define ARCHITECTURE_ID "AVR" + +# elif defined(__ICC430__) +# define ARCHITECTURE_ID "MSP430" + +# elif defined(__ICCV850__) +# define ARCHITECTURE_ID "V850" + +# elif defined(__ICC8051__) +# define ARCHITECTURE_ID "8051" + +# elif defined(__ICCSTM8__) +# define ARCHITECTURE_ID "STM8" + +# else /* unknown architecture */ +# define ARCHITECTURE_ID "" +# endif + +#elif defined(__ghs__) +# if defined(__PPC64__) +# define ARCHITECTURE_ID "PPC64" + +# elif defined(__ppc__) +# define ARCHITECTURE_ID "PPC" + +# elif defined(__ARM__) +# define ARCHITECTURE_ID "ARM" + +# elif defined(__x86_64__) +# define ARCHITECTURE_ID "x64" + +# elif defined(__i386__) +# define ARCHITECTURE_ID "X86" + +# else /* unknown architecture */ +# define ARCHITECTURE_ID "" +# endif + +#elif defined(__TI_COMPILER_VERSION__) +# if defined(__TI_ARM__) +# define ARCHITECTURE_ID "ARM" + +# elif defined(__MSP430__) +# define ARCHITECTURE_ID "MSP430" + +# elif defined(__TMS320C28XX__) +# define ARCHITECTURE_ID "TMS320C28x" + +# elif defined(__TMS320C6X__) || defined(_TMS320C6X) +# define ARCHITECTURE_ID "TMS320C6x" + +# else /* unknown architecture */ +# define ARCHITECTURE_ID "" +# endif + +#else +# define ARCHITECTURE_ID +#endif + +/* Convert integer to decimal digit literals. */ +#define DEC(n) \ + ('0' + (((n) / 10000000)%10)), \ + ('0' + (((n) / 1000000)%10)), \ + ('0' + (((n) / 100000)%10)), \ + ('0' + (((n) / 10000)%10)), \ + ('0' + (((n) / 1000)%10)), \ + ('0' + (((n) / 100)%10)), \ + ('0' + (((n) / 10)%10)), \ + ('0' + ((n) % 10)) + +/* Convert integer to hex digit literals. */ +#define HEX(n) \ + ('0' + ((n)>>28 & 0xF)), \ + ('0' + ((n)>>24 & 0xF)), \ + ('0' + ((n)>>20 & 0xF)), \ + ('0' + ((n)>>16 & 0xF)), \ + ('0' + ((n)>>12 & 0xF)), \ + ('0' + ((n)>>8 & 0xF)), \ + ('0' + ((n)>>4 & 0xF)), \ + ('0' + ((n) & 0xF)) + +/* Construct a string literal encoding the version number. */ +#ifdef COMPILER_VERSION +char const* info_version = "INFO" ":" "compiler_version[" COMPILER_VERSION "]"; + +/* Construct a string literal encoding the version number components. */ +#elif defined(COMPILER_VERSION_MAJOR) +char const info_version[] = { + 'I', 'N', 'F', 'O', ':', + 'c','o','m','p','i','l','e','r','_','v','e','r','s','i','o','n','[', + COMPILER_VERSION_MAJOR, +# ifdef COMPILER_VERSION_MINOR + '.', COMPILER_VERSION_MINOR, +# ifdef COMPILER_VERSION_PATCH + '.', COMPILER_VERSION_PATCH, +# ifdef COMPILER_VERSION_TWEAK + '.', COMPILER_VERSION_TWEAK, +# endif +# endif +# endif + ']','\0'}; +#endif + +/* Construct a string literal encoding the internal version number. */ +#ifdef COMPILER_VERSION_INTERNAL +char const info_version_internal[] = { + 'I', 'N', 'F', 'O', ':', + 'c','o','m','p','i','l','e','r','_','v','e','r','s','i','o','n','_', + 'i','n','t','e','r','n','a','l','[', + COMPILER_VERSION_INTERNAL,']','\0'}; +#elif defined(COMPILER_VERSION_INTERNAL_STR) +char const* info_version_internal = "INFO" ":" "compiler_version_internal[" COMPILER_VERSION_INTERNAL_STR "]"; +#endif + +/* Construct a string literal encoding the version number components. */ +#ifdef SIMULATE_VERSION_MAJOR +char const info_simulate_version[] = { + 'I', 'N', 'F', 'O', ':', + 's','i','m','u','l','a','t','e','_','v','e','r','s','i','o','n','[', + SIMULATE_VERSION_MAJOR, +# ifdef SIMULATE_VERSION_MINOR + '.', SIMULATE_VERSION_MINOR, +# ifdef SIMULATE_VERSION_PATCH + '.', SIMULATE_VERSION_PATCH, +# ifdef SIMULATE_VERSION_TWEAK + '.', SIMULATE_VERSION_TWEAK, +# endif +# endif +# endif + ']','\0'}; +#endif + +/* Construct the string literal in pieces to prevent the source from + getting matched. Store it in a pointer rather than an array + because some compilers will just produce instructions to fill the + array rather than assigning a pointer to a static array. */ +char const* info_platform = "INFO" ":" "platform[" PLATFORM_ID "]"; +char const* info_arch = "INFO" ":" "arch[" ARCHITECTURE_ID "]"; + + + +#if !defined(__STDC__) && !defined(__clang__) +# if defined(_MSC_VER) || defined(__ibmxl__) || defined(__IBMC__) +# define C_VERSION "90" +# else +# define C_VERSION +# endif +#elif __STDC_VERSION__ > 201710L +# define C_VERSION "23" +#elif __STDC_VERSION__ >= 201710L +# define C_VERSION "17" +#elif __STDC_VERSION__ >= 201000L +# define C_VERSION "11" +#elif __STDC_VERSION__ >= 199901L +# define C_VERSION "99" +#else +# define C_VERSION "90" +#endif +const char* info_language_standard_default = + "INFO" ":" "standard_default[" C_VERSION "]"; + +const char* info_language_extensions_default = "INFO" ":" "extensions_default[" +/* !defined(_MSC_VER) to exclude Clang's MSVC compatibility mode. */ +#if (defined(__clang__) || defined(__GNUC__) || \ + defined(__TI_COMPILER_VERSION__)) && \ + !defined(__STRICT_ANSI__) && !defined(_MSC_VER) + "ON" +#else + "OFF" +#endif +"]"; + +/*--------------------------------------------------------------------------*/ + +#ifdef ID_VOID_MAIN +void main() {} +#else +# if defined(__CLASSIC_C__) +int main(argc, argv) int argc; char *argv[]; +# else +int main(int argc, char* argv[]) +# endif +{ + int require = 0; + require += info_compiler[argc]; + require += info_platform[argc]; + require += info_arch[argc]; +#ifdef COMPILER_VERSION_MAJOR + require += info_version[argc]; +#endif +#ifdef COMPILER_VERSION_INTERNAL + require += info_version_internal[argc]; +#endif +#ifdef SIMULATE_ID + require += info_simulate[argc]; +#endif +#ifdef SIMULATE_VERSION_MAJOR + require += info_simulate_version[argc]; +#endif +#if defined(__CRAYXT_COMPUTE_LINUX_TARGET) + require += info_cray[argc]; +#endif + require += info_language_standard_default[argc]; + require += info_language_extensions_default[argc]; + (void)argv; + return require; +} +#endif diff --git a/build/CMakeFiles/3.22.1/CompilerIdC/a.out b/build/CMakeFiles/3.22.1/CompilerIdC/a.out new file mode 100755 index 0000000..7873b2c Binary files /dev/null and b/build/CMakeFiles/3.22.1/CompilerIdC/a.out differ diff --git a/build/CMakeFiles/3.22.1/CompilerIdCXX/CMakeCXXCompilerId.cpp b/build/CMakeFiles/3.22.1/CompilerIdCXX/CMakeCXXCompilerId.cpp new file mode 100644 index 0000000..25c62a8 --- /dev/null +++ b/build/CMakeFiles/3.22.1/CompilerIdCXX/CMakeCXXCompilerId.cpp @@ -0,0 +1,791 @@ +/* This source file must have a .cpp extension so that all C++ compilers + recognize the extension without flags. Borland does not know .cxx for + example. */ +#ifndef __cplusplus +# error "A C compiler has been selected for C++." +#endif + +#if !defined(__has_include) +/* If the compiler does not have __has_include, pretend the answer is + always no. */ +# define __has_include(x) 0 +#endif + + +/* Version number components: V=Version, R=Revision, P=Patch + Version date components: YYYY=Year, MM=Month, DD=Day */ + +#if defined(__COMO__) +# define COMPILER_ID "Comeau" + /* __COMO_VERSION__ = VRR */ +# define COMPILER_VERSION_MAJOR DEC(__COMO_VERSION__ / 100) +# define COMPILER_VERSION_MINOR DEC(__COMO_VERSION__ % 100) + +#elif defined(__INTEL_COMPILER) || defined(__ICC) +# define COMPILER_ID "Intel" +# if defined(_MSC_VER) +# define SIMULATE_ID "MSVC" +# endif +# if defined(__GNUC__) +# define SIMULATE_ID "GNU" +# endif + /* __INTEL_COMPILER = VRP prior to 2021, and then VVVV for 2021 and later, + except that a few beta releases use the old format with V=2021. */ +# if __INTEL_COMPILER < 2021 || __INTEL_COMPILER == 202110 || __INTEL_COMPILER == 202111 +# define COMPILER_VERSION_MAJOR DEC(__INTEL_COMPILER/100) +# define COMPILER_VERSION_MINOR DEC(__INTEL_COMPILER/10 % 10) +# if defined(__INTEL_COMPILER_UPDATE) +# define COMPILER_VERSION_PATCH DEC(__INTEL_COMPILER_UPDATE) +# else +# define COMPILER_VERSION_PATCH DEC(__INTEL_COMPILER % 10) +# endif +# else +# define COMPILER_VERSION_MAJOR DEC(__INTEL_COMPILER) +# define COMPILER_VERSION_MINOR DEC(__INTEL_COMPILER_UPDATE) + /* The third version component from --version is an update index, + but no macro is provided for it. */ +# define COMPILER_VERSION_PATCH DEC(0) +# endif +# if defined(__INTEL_COMPILER_BUILD_DATE) + /* __INTEL_COMPILER_BUILD_DATE = YYYYMMDD */ +# define COMPILER_VERSION_TWEAK DEC(__INTEL_COMPILER_BUILD_DATE) +# endif +# if defined(_MSC_VER) + /* _MSC_VER = VVRR */ +# define SIMULATE_VERSION_MAJOR DEC(_MSC_VER / 100) +# define SIMULATE_VERSION_MINOR DEC(_MSC_VER % 100) +# endif +# if defined(__GNUC__) +# define SIMULATE_VERSION_MAJOR DEC(__GNUC__) +# elif defined(__GNUG__) +# define SIMULATE_VERSION_MAJOR DEC(__GNUG__) +# endif +# if defined(__GNUC_MINOR__) +# define SIMULATE_VERSION_MINOR DEC(__GNUC_MINOR__) +# endif +# if defined(__GNUC_PATCHLEVEL__) +# define SIMULATE_VERSION_PATCH DEC(__GNUC_PATCHLEVEL__) +# endif + +#elif (defined(__clang__) && defined(__INTEL_CLANG_COMPILER)) || defined(__INTEL_LLVM_COMPILER) +# define COMPILER_ID "IntelLLVM" +#if defined(_MSC_VER) +# define SIMULATE_ID "MSVC" +#endif +#if defined(__GNUC__) +# define SIMULATE_ID "GNU" +#endif +/* __INTEL_LLVM_COMPILER = VVVVRP prior to 2021.2.0, VVVVRRPP for 2021.2.0 and + * later. Look for 6 digit vs. 8 digit version number to decide encoding. + * VVVV is no smaller than the current year when a version is released. + */ +#if __INTEL_LLVM_COMPILER < 1000000L +# define COMPILER_VERSION_MAJOR DEC(__INTEL_LLVM_COMPILER/100) +# define COMPILER_VERSION_MINOR DEC(__INTEL_LLVM_COMPILER/10 % 10) +# define COMPILER_VERSION_PATCH DEC(__INTEL_LLVM_COMPILER % 10) +#else +# define COMPILER_VERSION_MAJOR DEC(__INTEL_LLVM_COMPILER/10000) +# define COMPILER_VERSION_MINOR DEC(__INTEL_LLVM_COMPILER/100 % 100) +# define COMPILER_VERSION_PATCH DEC(__INTEL_LLVM_COMPILER % 100) +#endif +#if defined(_MSC_VER) + /* _MSC_VER = VVRR */ +# define SIMULATE_VERSION_MAJOR DEC(_MSC_VER / 100) +# define SIMULATE_VERSION_MINOR DEC(_MSC_VER % 100) +#endif +#if defined(__GNUC__) +# define SIMULATE_VERSION_MAJOR DEC(__GNUC__) +#elif defined(__GNUG__) +# define SIMULATE_VERSION_MAJOR DEC(__GNUG__) +#endif +#if defined(__GNUC_MINOR__) +# define SIMULATE_VERSION_MINOR DEC(__GNUC_MINOR__) +#endif +#if defined(__GNUC_PATCHLEVEL__) +# define SIMULATE_VERSION_PATCH DEC(__GNUC_PATCHLEVEL__) +#endif + +#elif defined(__PATHCC__) +# define COMPILER_ID "PathScale" +# define COMPILER_VERSION_MAJOR DEC(__PATHCC__) +# define COMPILER_VERSION_MINOR DEC(__PATHCC_MINOR__) +# if defined(__PATHCC_PATCHLEVEL__) +# define COMPILER_VERSION_PATCH DEC(__PATHCC_PATCHLEVEL__) +# endif + +#elif defined(__BORLANDC__) && defined(__CODEGEARC_VERSION__) +# define COMPILER_ID "Embarcadero" +# define COMPILER_VERSION_MAJOR HEX(__CODEGEARC_VERSION__>>24 & 0x00FF) +# define COMPILER_VERSION_MINOR HEX(__CODEGEARC_VERSION__>>16 & 0x00FF) +# define COMPILER_VERSION_PATCH DEC(__CODEGEARC_VERSION__ & 0xFFFF) + +#elif defined(__BORLANDC__) +# define COMPILER_ID "Borland" + /* __BORLANDC__ = 0xVRR */ +# define COMPILER_VERSION_MAJOR HEX(__BORLANDC__>>8) +# define COMPILER_VERSION_MINOR HEX(__BORLANDC__ & 0xFF) + +#elif defined(__WATCOMC__) && __WATCOMC__ < 1200 +# define COMPILER_ID "Watcom" + /* __WATCOMC__ = VVRR */ +# define COMPILER_VERSION_MAJOR DEC(__WATCOMC__ / 100) +# define COMPILER_VERSION_MINOR DEC((__WATCOMC__ / 10) % 10) +# if (__WATCOMC__ % 10) > 0 +# define COMPILER_VERSION_PATCH DEC(__WATCOMC__ % 10) +# endif + +#elif defined(__WATCOMC__) +# define COMPILER_ID "OpenWatcom" + /* __WATCOMC__ = VVRP + 1100 */ +# define COMPILER_VERSION_MAJOR DEC((__WATCOMC__ - 1100) / 100) +# define COMPILER_VERSION_MINOR DEC((__WATCOMC__ / 10) % 10) +# if (__WATCOMC__ % 10) > 0 +# define COMPILER_VERSION_PATCH DEC(__WATCOMC__ % 10) +# endif + +#elif defined(__SUNPRO_CC) +# define COMPILER_ID "SunPro" +# if __SUNPRO_CC >= 0x5100 + /* __SUNPRO_CC = 0xVRRP */ +# define COMPILER_VERSION_MAJOR HEX(__SUNPRO_CC>>12) +# define COMPILER_VERSION_MINOR HEX(__SUNPRO_CC>>4 & 0xFF) +# define COMPILER_VERSION_PATCH HEX(__SUNPRO_CC & 0xF) +# else + /* __SUNPRO_CC = 0xVRP */ +# define COMPILER_VERSION_MAJOR HEX(__SUNPRO_CC>>8) +# define COMPILER_VERSION_MINOR HEX(__SUNPRO_CC>>4 & 0xF) +# define COMPILER_VERSION_PATCH HEX(__SUNPRO_CC & 0xF) +# endif + +#elif defined(__HP_aCC) +# define COMPILER_ID "HP" + /* __HP_aCC = VVRRPP */ +# define COMPILER_VERSION_MAJOR DEC(__HP_aCC/10000) +# define COMPILER_VERSION_MINOR DEC(__HP_aCC/100 % 100) +# define COMPILER_VERSION_PATCH DEC(__HP_aCC % 100) + +#elif defined(__DECCXX) +# define COMPILER_ID "Compaq" + /* __DECCXX_VER = VVRRTPPPP */ +# define COMPILER_VERSION_MAJOR DEC(__DECCXX_VER/10000000) +# define COMPILER_VERSION_MINOR DEC(__DECCXX_VER/100000 % 100) +# define COMPILER_VERSION_PATCH DEC(__DECCXX_VER % 10000) + +#elif defined(__IBMCPP__) && defined(__COMPILER_VER__) +# define COMPILER_ID "zOS" + /* __IBMCPP__ = VRP */ +# define COMPILER_VERSION_MAJOR DEC(__IBMCPP__/100) +# define COMPILER_VERSION_MINOR DEC(__IBMCPP__/10 % 10) +# define COMPILER_VERSION_PATCH DEC(__IBMCPP__ % 10) + +#elif defined(__ibmxl__) && defined(__clang__) +# define COMPILER_ID "XLClang" +# define COMPILER_VERSION_MAJOR DEC(__ibmxl_version__) +# define COMPILER_VERSION_MINOR DEC(__ibmxl_release__) +# define COMPILER_VERSION_PATCH DEC(__ibmxl_modification__) +# define COMPILER_VERSION_TWEAK DEC(__ibmxl_ptf_fix_level__) + + +#elif defined(__IBMCPP__) && !defined(__COMPILER_VER__) && __IBMCPP__ >= 800 +# define COMPILER_ID "XL" + /* __IBMCPP__ = VRP */ +# define COMPILER_VERSION_MAJOR DEC(__IBMCPP__/100) +# define COMPILER_VERSION_MINOR DEC(__IBMCPP__/10 % 10) +# define COMPILER_VERSION_PATCH DEC(__IBMCPP__ % 10) + +#elif defined(__IBMCPP__) && !defined(__COMPILER_VER__) && __IBMCPP__ < 800 +# define COMPILER_ID "VisualAge" + /* __IBMCPP__ = VRP */ +# define COMPILER_VERSION_MAJOR DEC(__IBMCPP__/100) +# define COMPILER_VERSION_MINOR DEC(__IBMCPP__/10 % 10) +# define COMPILER_VERSION_PATCH DEC(__IBMCPP__ % 10) + +#elif defined(__NVCOMPILER) +# define COMPILER_ID "NVHPC" +# define COMPILER_VERSION_MAJOR DEC(__NVCOMPILER_MAJOR__) +# define COMPILER_VERSION_MINOR DEC(__NVCOMPILER_MINOR__) +# if defined(__NVCOMPILER_PATCHLEVEL__) +# define COMPILER_VERSION_PATCH DEC(__NVCOMPILER_PATCHLEVEL__) +# endif + +#elif defined(__PGI) +# define COMPILER_ID "PGI" +# define COMPILER_VERSION_MAJOR DEC(__PGIC__) +# define COMPILER_VERSION_MINOR DEC(__PGIC_MINOR__) +# if defined(__PGIC_PATCHLEVEL__) +# define COMPILER_VERSION_PATCH DEC(__PGIC_PATCHLEVEL__) +# endif + +#elif defined(_CRAYC) +# define COMPILER_ID "Cray" +# define COMPILER_VERSION_MAJOR DEC(_RELEASE_MAJOR) +# define COMPILER_VERSION_MINOR DEC(_RELEASE_MINOR) + +#elif defined(__TI_COMPILER_VERSION__) +# define COMPILER_ID "TI" + /* __TI_COMPILER_VERSION__ = VVVRRRPPP */ +# define COMPILER_VERSION_MAJOR DEC(__TI_COMPILER_VERSION__/1000000) +# define COMPILER_VERSION_MINOR DEC(__TI_COMPILER_VERSION__/1000 % 1000) +# define COMPILER_VERSION_PATCH DEC(__TI_COMPILER_VERSION__ % 1000) + +#elif defined(__CLANG_FUJITSU) +# define COMPILER_ID "FujitsuClang" +# define COMPILER_VERSION_MAJOR DEC(__FCC_major__) +# define COMPILER_VERSION_MINOR DEC(__FCC_minor__) +# define COMPILER_VERSION_PATCH DEC(__FCC_patchlevel__) +# define COMPILER_VERSION_INTERNAL_STR __clang_version__ + + +#elif defined(__FUJITSU) +# define COMPILER_ID "Fujitsu" +# if defined(__FCC_version__) +# define COMPILER_VERSION __FCC_version__ +# elif defined(__FCC_major__) +# define COMPILER_VERSION_MAJOR DEC(__FCC_major__) +# define COMPILER_VERSION_MINOR DEC(__FCC_minor__) +# define COMPILER_VERSION_PATCH DEC(__FCC_patchlevel__) +# endif +# if defined(__fcc_version) +# define COMPILER_VERSION_INTERNAL DEC(__fcc_version) +# elif defined(__FCC_VERSION) +# define COMPILER_VERSION_INTERNAL DEC(__FCC_VERSION) +# endif + + +#elif defined(__ghs__) +# define COMPILER_ID "GHS" +/* __GHS_VERSION_NUMBER = VVVVRP */ +# ifdef __GHS_VERSION_NUMBER +# define COMPILER_VERSION_MAJOR DEC(__GHS_VERSION_NUMBER / 100) +# define COMPILER_VERSION_MINOR DEC(__GHS_VERSION_NUMBER / 10 % 10) +# define COMPILER_VERSION_PATCH DEC(__GHS_VERSION_NUMBER % 10) +# endif + +#elif defined(__SCO_VERSION__) +# define COMPILER_ID "SCO" + +#elif defined(__ARMCC_VERSION) && !defined(__clang__) +# define COMPILER_ID "ARMCC" +#if __ARMCC_VERSION >= 1000000 + /* __ARMCC_VERSION = VRRPPPP */ + # define COMPILER_VERSION_MAJOR DEC(__ARMCC_VERSION/1000000) + # define COMPILER_VERSION_MINOR DEC(__ARMCC_VERSION/10000 % 100) + # define COMPILER_VERSION_PATCH DEC(__ARMCC_VERSION % 10000) +#else + /* __ARMCC_VERSION = VRPPPP */ + # define COMPILER_VERSION_MAJOR DEC(__ARMCC_VERSION/100000) + # define COMPILER_VERSION_MINOR DEC(__ARMCC_VERSION/10000 % 10) + # define COMPILER_VERSION_PATCH DEC(__ARMCC_VERSION % 10000) +#endif + + +#elif defined(__clang__) && defined(__apple_build_version__) +# define COMPILER_ID "AppleClang" +# if defined(_MSC_VER) +# define SIMULATE_ID "MSVC" +# endif +# define COMPILER_VERSION_MAJOR DEC(__clang_major__) +# define COMPILER_VERSION_MINOR DEC(__clang_minor__) +# define COMPILER_VERSION_PATCH DEC(__clang_patchlevel__) +# if defined(_MSC_VER) + /* _MSC_VER = VVRR */ +# define SIMULATE_VERSION_MAJOR DEC(_MSC_VER 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DEC((__VER__) / 100) +# define COMPILER_VERSION_MINOR DEC((__VER__) - (((__VER__) / 100)*100)) +# define COMPILER_VERSION_PATCH DEC(__SUBVERSION__) +# define COMPILER_VERSION_INTERNAL DEC(__IAR_SYSTEMS_ICC__) +# endif + + +/* These compilers are either not known or too old to define an + identification macro. Try to identify the platform and guess that + it is the native compiler. */ +#elif defined(__hpux) || defined(__hpua) +# define COMPILER_ID "HP" + +#else /* unknown compiler */ +# define COMPILER_ID "" +#endif + +/* Construct the string literal in pieces to prevent the source from + getting matched. Store it in a pointer rather than an array + because some compilers will just produce instructions to fill the + array rather than assigning a pointer to a static array. */ +char const* info_compiler = "INFO" ":" "compiler[" COMPILER_ID "]"; +#ifdef SIMULATE_ID +char const* info_simulate = "INFO" ":" "simulate[" SIMULATE_ID "]"; +#endif + +#ifdef __QNXNTO__ +char const* qnxnto = "INFO" ":" "qnxnto[]"; +#endif + +#if defined(__CRAYXT_COMPUTE_LINUX_TARGET) +char const *info_cray = "INFO" ":" "compiler_wrapper[CrayPrgEnv]"; +#endif + +#define STRINGIFY_HELPER(X) #X +#define STRINGIFY(X) STRINGIFY_HELPER(X) + +/* Identify known platforms by name. */ +#if defined(__linux) || defined(__linux__) || defined(linux) +# define PLATFORM_ID "Linux" + +#elif defined(__MSYS__) +# define PLATFORM_ID "MSYS" + +#elif defined(__CYGWIN__) +# define PLATFORM_ID "Cygwin" + +#elif defined(__MINGW32__) +# define PLATFORM_ID "MinGW" + +#elif defined(__APPLE__) +# define PLATFORM_ID "Darwin" + +#elif defined(_WIN32) || defined(__WIN32__) || defined(WIN32) +# define PLATFORM_ID "Windows" + +#elif defined(__FreeBSD__) || defined(__FreeBSD) +# define PLATFORM_ID "FreeBSD" + +#elif defined(__NetBSD__) || defined(__NetBSD) +# define PLATFORM_ID "NetBSD" + +#elif defined(__OpenBSD__) || defined(__OPENBSD) +# define PLATFORM_ID "OpenBSD" + +#elif defined(__sun) || defined(sun) +# define PLATFORM_ID "SunOS" + +#elif defined(_AIX) || defined(__AIX) || defined(__AIX__) || defined(__aix) || defined(__aix__) +# define PLATFORM_ID "AIX" + +#elif defined(__hpux) || defined(__hpux__) +# define PLATFORM_ID "HP-UX" + +#elif defined(__HAIKU__) +# define PLATFORM_ID "Haiku" + +#elif defined(__BeOS) || defined(__BEOS__) || defined(_BEOS) +# define PLATFORM_ID "BeOS" + +#elif defined(__QNX__) || defined(__QNXNTO__) +# define PLATFORM_ID "QNX" + +#elif defined(__tru64) || defined(_tru64) || defined(__TRU64__) +# define PLATFORM_ID "Tru64" + +#elif defined(__riscos) || defined(__riscos__) +# define PLATFORM_ID "RISCos" + +#elif defined(__sinix) || defined(__sinix__) || defined(__SINIX__) +# define PLATFORM_ID "SINIX" + +#elif defined(__UNIX_SV__) +# define PLATFORM_ID "UNIX_SV" + +#elif defined(__bsdos__) +# define PLATFORM_ID "BSDOS" + +#elif defined(_MPRAS) || defined(MPRAS) +# define PLATFORM_ID "MP-RAS" + +#elif defined(__osf) || defined(__osf__) +# define PLATFORM_ID "OSF1" + +#elif defined(_SCO_SV) || defined(SCO_SV) || defined(sco_sv) +# define PLATFORM_ID "SCO_SV" + +#elif defined(__ultrix) || defined(__ultrix__) || defined(_ULTRIX) +# define PLATFORM_ID "ULTRIX" + +#elif defined(__XENIX__) || defined(_XENIX) || defined(XENIX) +# define PLATFORM_ID "Xenix" + +#elif defined(__WATCOMC__) +# if defined(__LINUX__) +# define PLATFORM_ID "Linux" + +# elif defined(__DOS__) +# define PLATFORM_ID "DOS" + +# elif defined(__OS2__) +# define PLATFORM_ID "OS2" + +# elif defined(__WINDOWS__) +# define PLATFORM_ID "Windows3x" + +# elif defined(__VXWORKS__) +# define PLATFORM_ID "VxWorks" + +# else /* unknown platform */ +# define PLATFORM_ID +# endif + +#elif defined(__INTEGRITY) +# if defined(INT_178B) +# define PLATFORM_ID "Integrity178" + +# else /* regular Integrity */ +# define PLATFORM_ID "Integrity" +# endif + +#else /* unknown platform */ +# define PLATFORM_ID + +#endif + +/* For windows compilers MSVC and Intel we can determine + the architecture of the compiler being used. This is because + the compilers do not have flags that can change the architecture, + but rather depend on which compiler is being used +*/ +#if defined(_WIN32) && defined(_MSC_VER) +# if defined(_M_IA64) +# define ARCHITECTURE_ID "IA64" + +# elif defined(_M_ARM64EC) +# define ARCHITECTURE_ID "ARM64EC" + +# elif defined(_M_X64) || defined(_M_AMD64) +# define ARCHITECTURE_ID "x64" + +# elif defined(_M_IX86) +# define ARCHITECTURE_ID "X86" + +# elif defined(_M_ARM64) +# define ARCHITECTURE_ID "ARM64" + +# elif defined(_M_ARM) +# if _M_ARM == 4 +# define ARCHITECTURE_ID "ARMV4I" +# elif _M_ARM == 5 +# define ARCHITECTURE_ID "ARMV5I" +# else +# define ARCHITECTURE_ID "ARMV" STRINGIFY(_M_ARM) +# endif + +# elif defined(_M_MIPS) +# define ARCHITECTURE_ID "MIPS" + +# elif defined(_M_SH) +# define ARCHITECTURE_ID "SHx" + +# else /* unknown architecture */ +# define ARCHITECTURE_ID "" +# endif + +#elif defined(__WATCOMC__) +# if defined(_M_I86) +# define ARCHITECTURE_ID "I86" + +# elif defined(_M_IX86) +# define ARCHITECTURE_ID "X86" + +# else /* unknown architecture */ +# define ARCHITECTURE_ID "" +# endif + +#elif defined(__IAR_SYSTEMS_ICC__) || defined(__IAR_SYSTEMS_ICC) +# if defined(__ICCARM__) +# define ARCHITECTURE_ID "ARM" + +# elif defined(__ICCRX__) +# define ARCHITECTURE_ID "RX" + +# elif defined(__ICCRH850__) +# define ARCHITECTURE_ID "RH850" + +# elif defined(__ICCRL78__) +# define ARCHITECTURE_ID "RL78" + +# elif defined(__ICCRISCV__) +# define ARCHITECTURE_ID "RISCV" + +# elif defined(__ICCAVR__) +# define ARCHITECTURE_ID "AVR" + +# elif defined(__ICC430__) +# define ARCHITECTURE_ID "MSP430" + +# elif defined(__ICCV850__) +# define ARCHITECTURE_ID "V850" + +# elif defined(__ICC8051__) +# define ARCHITECTURE_ID "8051" + +# elif defined(__ICCSTM8__) +# define ARCHITECTURE_ID "STM8" + +# else /* unknown architecture */ +# define ARCHITECTURE_ID "" +# endif + +#elif defined(__ghs__) +# if defined(__PPC64__) +# define ARCHITECTURE_ID "PPC64" + +# elif defined(__ppc__) +# define ARCHITECTURE_ID "PPC" + +# elif defined(__ARM__) +# define ARCHITECTURE_ID "ARM" + +# elif defined(__x86_64__) +# define ARCHITECTURE_ID "x64" + +# elif defined(__i386__) +# define ARCHITECTURE_ID "X86" + +# else /* unknown architecture */ +# define ARCHITECTURE_ID "" +# endif + +#elif defined(__TI_COMPILER_VERSION__) +# if defined(__TI_ARM__) +# define ARCHITECTURE_ID "ARM" + +# elif defined(__MSP430__) +# define ARCHITECTURE_ID "MSP430" + +# elif defined(__TMS320C28XX__) +# define ARCHITECTURE_ID "TMS320C28x" + +# elif defined(__TMS320C6X__) || defined(_TMS320C6X) +# define ARCHITECTURE_ID "TMS320C6x" + +# else /* unknown architecture */ +# define ARCHITECTURE_ID "" +# endif + +#else +# define ARCHITECTURE_ID +#endif + +/* Convert integer to decimal digit literals. */ +#define DEC(n) \ + ('0' + (((n) / 10000000)%10)), \ + ('0' + (((n) / 1000000)%10)), \ + ('0' + (((n) / 100000)%10)), \ + ('0' + (((n) / 10000)%10)), \ + ('0' + (((n) / 1000)%10)), \ + ('0' + (((n) / 100)%10)), \ + ('0' + (((n) / 10)%10)), \ + ('0' + ((n) % 10)) + +/* Convert integer to hex digit literals. */ +#define HEX(n) \ + ('0' + ((n)>>28 & 0xF)), \ + ('0' + ((n)>>24 & 0xF)), \ + ('0' + ((n)>>20 & 0xF)), \ + ('0' + ((n)>>16 & 0xF)), \ + ('0' + ((n)>>12 & 0xF)), \ + ('0' + ((n)>>8 & 0xF)), \ + ('0' + ((n)>>4 & 0xF)), \ + ('0' + ((n) & 0xF)) + +/* Construct a string literal encoding the version number. */ +#ifdef COMPILER_VERSION +char const* info_version = "INFO" ":" "compiler_version[" COMPILER_VERSION "]"; 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VISIBILITY_INLINES_HIDDEN ON +) + +# ---------------------------------------------------------------------------- +# SIMD 加速：AVX/NEON 内联函数需要对应编译标志 + 宏定义 +# ---------------------------------------------------------------------------- +if(CMAKE_CXX_COMPILER_ID MATCHES "GNU|Clang") + target_compile_options(facedetection PRIVATE -O3) + + if(ENABLE_AVX512) + target_compile_options(facedetection PRIVATE + -mavx512f -mavx512cd -mavx512dq -mavx512bw -mavx512vl -mfma) + target_compile_definitions(facedetection PRIVATE _ENABLE_AVX512) + message(STATUS "libfacedetection: SIMD = AVX512") + elseif(ENABLE_AVX2) + target_compile_options(facedetection PRIVATE -mavx2 -mfma) + target_compile_definitions(facedetection PRIVATE _ENABLE_AVX2) + message(STATUS "libfacedetection: SIMD = AVX2") + elseif(ENABLE_NEON) + target_compile_definitions(facedetection PRIVATE _ENABLE_NEON) + # AArch64 下 NEON 默认开启无需标志；32 位 ARM 需要 -mfpu=neon。 + if(CXX_HAS_MFPU_NEON) + target_compile_options(facedetection PRIVATE -mfpu=neon) + endif() + message(STATUS "libfacedetection: SIMD = NEON") + else() + message(STATUS "libfacedetection: SIMD disabled") + endif() +elseif(MSVC) + target_compile_options(facedetection PRIVATE /O2) + + if(ENABLE_AVX512) + target_compile_options(facedetection PRIVATE /arch:AVX512) + target_compile_definitions(facedetection PRIVATE _ENABLE_AVX512) + elseif(ENABLE_AVX2) + target_compile_options(facedetection PRIVATE /arch:AVX2) + target_compile_definitions(facedetection PRIVATE _ENABLE_AVX2) + elseif(ENABLE_NEON) + # MSVC for ARM: NEON 默认开启，无需额外标志。 + target_compile_definitions(facedetection PRIVATE _ENABLE_NEON) + endif() +endif() + +# OpenMP：加速卷积运算（可选） +if(OpenMP_FOUND) + target_link_libraries(facedetection PRIVATE OpenMP::OpenMP_CXX) +endif() diff --git a/libfacedetection/include/facedetectcnn.h b/libfacedetection/include/facedetectcnn.h new file mode 100644 index 0000000..33cab95 --- /dev/null +++ b/libfacedetection/include/facedetectcnn.h @@ -0,0 +1,450 @@ +/* +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 libfacedetection + (3-clause BSD License) + +Copyright (c) 2018-2021, Shiqi Yu, all rights reserved. +shiqi.yu@gmail.com + +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. +*/ + +#pragma once + +#include "facedetection_export.h" + +// AVX/NEON 加速现由 CMake 选项控制，无需在此手动取消注释： +// cmake -DENABLE_AVX2=ON .. (X64 CPU，推荐) +// cmake -DENABLE_AVX512=ON .. (X64 CPU，支持较新) +// cmake -DENABLE_NEON=ON .. (ARM CPU) +// CMake 会通过 -D 自动定义对应的 _ENABLE_AVX* / _ENABLE_NEON 宏并添加编译器指令集标志。 +// 下面三行保留仅供参考，手动取消注释时必须自行确保编译标志已添加，否则会报 +// "target specific option mismatch" 错误。 +// #define _ENABLE_AVX512 //Please enable it if X64 CPU +// #define _ENABLE_AVX2 //Please enable it if X64 CPU +//#define _ENABLE_NEON //Please enable it if ARM CPU + +#define FACEDETECTION_RESULT_BUFFER_SIZE 0x9000 +#define FACEDETECTION_RESULT_MAX_FACES 1024 +#define FACEDETECTION_RESULT_STRIDE_SHORTS 16 + +FACEDETECTION_EXPORT int * facedetect_cnn(unsigned char * result_buffer, //buffer memory for storing face detection results, !!its size must be FACEDETECTION_RESULT_BUFFER_SIZE Bytes!! + unsigned char * rgb_image_data, int width, int height, int step); //input image, it must be BGR (three channels) insteed of RGB image! + +/* +DO NOT EDIT the following code if you don't really understand it. +*/ +#if defined(_ENABLE_AVX512) || defined(_ENABLE_AVX2) +#include +#endif + + +#if defined(_ENABLE_NEON) +#include "arm_neon.h" +//NEON does not support UINT8*INT8 dot product +//to conver the input data to range [0, 127], +//and then use INT8*INT8 dot product +#define _MAX_UINT8_VALUE 127 +#else +#define _MAX_UINT8_VALUE 255 +#endif + +#if defined(_ENABLE_AVX512) +#define _MALLOC_ALIGN 512 +#elif defined(_ENABLE_AVX2) +#define _MALLOC_ALIGN 256 +#else +#define _MALLOC_ALIGN 128 +#endif + +#if defined(_ENABLE_AVX512)&& defined(_ENABLE_NEON) +#error Cannot enable the two of AVX512 and NEON at the same time. +#endif +#if defined(_ENABLE_AVX2)&& defined(_ENABLE_NEON) +#error Cannot enable the two of AVX and NEON at the same time. +#endif +#if defined(_ENABLE_AVX512)&& defined(_ENABLE_AVX2) +#error Cannot enable the two of AVX512 and AVX2 at the same time. +#endif + + +#if defined(_OPENMP) +#include +#endif + +#include +#include +#include +#include + +void* myAlloc(size_t size); +void myFree_(void* ptr); +#define myFree(ptr) (myFree_(*(ptr)), *(ptr)=0); + +#ifndef MIN +# define MIN(a,b) ((a) > (b) ? (b) : (a)) +#endif + +#ifndef MAX +# define MAX(a,b) ((a) < (b) ? (b) : (a)) +#endif + +typedef struct FaceRect_ +{ + float score; + int x; + int y; + int w; + int h; + int lm[10]; +}FaceRect; + +typedef struct ConvInfoStruct_ { + int channels; + int num_filters; + bool is_depthwise; + bool is_pointwise; + bool with_relu; + float* pWeights; + float* pBiases; +}ConvInfoStruct; + + + +template +class CDataBlob +{ +public: + int rows; + int cols; + int channels; //in element + int channelStep; //in byte + T * data; + +public: + CDataBlob() { + rows = 0; + cols = 0; + channels = 0; + channelStep = 0; + data = nullptr; + } + CDataBlob(int r, int c, int ch) + { + data = nullptr; + create(r, c, ch); + //#warning "confirm later" + setZero(); + } + ~CDataBlob() + { + setNULL(); + } + + CDataBlob(CDataBlob &&other) { + data = other.data; + other.data = nullptr; + rows = other.rows; + cols = other.cols; + channels = other.channels; + channelStep = other.channelStep; + } + + CDataBlob &operator=(CDataBlob &&other) { + this->~CDataBlob(); + new (this) CDataBlob(std::move(other)); + return *this; + } + + void setNULL() + { + if (data) + myFree(&data); + rows = cols = channels = channelStep = 0; + data = nullptr; + } + + void setZero() + { + if(data) + memset(data, 0, channelStep * rows * cols); + } + + inline bool isEmpty() const + { + return (rows <= 0 || cols <= 0 || channels == 0 || data == nullptr); + } + + bool create(int r, int c, int ch) + { + setNULL(); + + rows = r; + cols = c; + channels = ch; + + //alloc space for int8 array + int remBytes = (sizeof(T)* channels) % (_MALLOC_ALIGN / 8); + if (remBytes == 0) + this->channelStep = channels * sizeof(T); + else + this->channelStep = (channels * sizeof(T)) + (_MALLOC_ALIGN / 8) - remBytes; + data = (T*)myAlloc(size_t(rows) * cols * this->channelStep); + + if (data == nullptr) + { + std::cerr << "Failed to alloc memeory for uint8 data blob: " + << rows << "*" + << cols << "*" + << channels << std::endl; + return false; + } + + //memset(data, 0, width * height * channelStep); + + //the following code is faster than memset + //but not only the padding bytes are set to zero. + //BE CAREFUL!!! +//#if defined(_OPENMP) +//#pragma omp parallel for +//#endif + // for (int r = 0; r < this->rows; r++) + // { + // for (int c = 0; c < this->cols; c++) + // { + // int pixel_end = this->channelStep / sizeof(T); + // T * pI = this->ptr(r, c); + // for (int ch = this->channels; ch < pixel_end; ch++) + // pI[ch] = 0; + // } + // } + + return true; + } + + inline T * ptr(int r, int c) + { + if( r < 0 || r >= this->rows || c < 0 || c >= this->cols ) + return nullptr; + + return (this->data + (size_t(r) * this->cols + c) * this->channelStep /sizeof(T)); + } + inline const T * ptr(int r, int c) const + { + if( r < 0 || r >= this->rows || c < 0 || c >= this->cols ) + return nullptr; + + return (this->data + (size_t(r) * this->cols + c) * this->channelStep /sizeof(T)); + } + + inline const T getElement(int r, int c, int ch) const + { + if (this->data) + { + if (r >= 0 && r < this->rows && + c >= 0 && c < this->cols && + ch >= 0 && ch < this->channels) + { + const T * p = this->ptr(r, c); + return (p[ch]); + } + } + + return (T)(0); + } + + friend std::ostream &operator<<(std::ostream &output, CDataBlob &dataBlob) + { + output << "DataBlob Size (channels, rows, cols) = (" + << dataBlob.channels + << ", " << dataBlob.rows + << ", " << dataBlob.cols + << ")" << std::endl; + if( dataBlob.rows * dataBlob.cols * dataBlob.channels <= 16) + { //print the elements only when the total number is less than 64 + for (int ch = 0; ch < dataBlob.channels; ch++) + { + output << "Channel " << ch << ": " << std::endl; + + for (int r = 0; r < dataBlob.rows; r++) + { + output << "("; + for (int c = 0; c < dataBlob.cols; c++) + { + T * p = dataBlob.ptr(r, c); + + if(sizeof(T)<4) + output << (int)(p[ch]); + else + output << p[ch]; + + if (c != dataBlob.cols - 1) + output << ", "; + } + output << ")" << std::endl; + } + } + } + else{ + output << "(" ; + int idx = 0; + bool outloop = false; + for(int r = 0; r < dataBlob.rows && !outloop; ++r) { + for(int c = 0; c < dataBlob.cols && !outloop; ++c) { + for(int ch = 0; ch < dataBlob.channels && !outloop; ++ch) { + output << dataBlob.getElement(r, c, ch) << ", "; + ++idx; + if(idx >= 16) { + outloop = true; + } + } + } + } + output << "..., " + << dataBlob.getElement(dataBlob.rows-1, dataBlob.cols-1, dataBlob.channels-1) << ")" + << std::endl; + float max_it = -500.f; + float min_it = 500.f; + for(int r = 0; r < dataBlob.rows; ++r) { + for(int c = 0; c < dataBlob.cols; ++c) { + for(int ch = 0; ch < dataBlob.channels; ++ch) { + max_it = std::max(max_it, dataBlob.getElement(r, c, ch)); + min_it = std::min(min_it, dataBlob.getElement(r, c, ch)); + } + } + } + output << "max_it: " << max_it << " min_it: " << min_it << std::endl; + } + return output; + } +}; + +template +class Filters{ + public: + int channels; + int num_filters; + bool is_depthwise; + bool is_pointwise; + bool with_relu; + CDataBlob weights; + CDataBlob biases; + + Filters() + { + channels = 0; + num_filters = 0; + is_depthwise = false; + is_pointwise = false; + with_relu = true; + } + + Filters & operator=(ConvInfoStruct & convinfo) + { + if (typeid(float) != typeid(T)) + { + std::cerr << "The data type must be float in this version." << std::endl; + return *this; + } + if (typeid(float*) != typeid(convinfo.pWeights) || + typeid(float*) != typeid(convinfo.pBiases)) + { + std::cerr << "The data type of the filter parameters must be float in this version." << std::endl; + return *this; + } + + this->channels = convinfo.channels; + this->num_filters = convinfo.num_filters; + this->is_depthwise = convinfo.is_depthwise; + this->is_pointwise = convinfo.is_pointwise; + this->with_relu = convinfo.with_relu; + + if(!this->is_depthwise && this->is_pointwise) //1x1 point wise + { + this->weights.create(1, num_filters, channels); + } + else if(this->is_depthwise && !this->is_pointwise) //3x3 depth wise + { + this->weights.create(1, 9, channels); + } + else + { + std::cerr << "Unsupported filter type. Only 1x1 point-wise and 3x3 depth-wise are supported." << std::endl; + return *this; + } + + this->biases.create(1, 1, num_filters); + + //the format of convinfo.pWeights/biases must meet the format in this->weigths/biases + for(int fidx = 0; fidx < this->weights.cols; fidx++) + memcpy(this->weights.ptr(0,fidx), + convinfo.pWeights + channels * fidx , + channels * sizeof(T)); + memcpy(this->biases.ptr(0,0), convinfo.pBiases, sizeof(T) * this->num_filters); + + return *this; + } + +}; + +std::vector objectdetect_cnn(const unsigned char* rgbImageData, int with, int height, int step); + +CDataBlob setDataFrom3x3S2P1to1x1S1P0FromImage(const unsigned char* inputData, int imgWidth, int imgHeight, int imgChannels, int imgWidthStep, int padDivisor=32); +CDataBlob convolution(const CDataBlob& inputData, const Filters& filters, bool do_relu = true); +CDataBlob convolutionDP(const CDataBlob& inputData, + const Filters& filtersP, const Filters& filtersD, bool do_relu = true); +CDataBlob convolution4layerUnit(const CDataBlob& inputData, + const Filters& filtersP1, const Filters& filtersD1, + const Filters& filtersP2, const Filters& filtersD2, bool do_relu = true); +CDataBlob maxpooling2x2S2(const CDataBlob& inputData); + +CDataBlob elementAdd(const CDataBlob& inputData1, const CDataBlob& inputData2); +CDataBlob upsampleX2(const CDataBlob& inputData); + +CDataBlob meshgrid(int feature_width, int feature_height, int stride, float offset=0.0f); + +// TODO implement in SIMD +void bbox_decode(CDataBlob& bbox_pred, const CDataBlob& priors, int stride); +void kps_decode(CDataBlob& bbox_pred, const CDataBlob& priors, int stride); + +template +CDataBlob blob2vector(const CDataBlob &inputData); + +template +CDataBlob concat3(const CDataBlob& inputData1, const CDataBlob& inputData2, const CDataBlob& inputData3); + +// TODO implement in SIMD +void sigmoid(CDataBlob& inputData); + +std::vector detection_output(const CDataBlob& cls, + const CDataBlob& reg, + const CDataBlob& kps, + const CDataBlob& obj, + float overlap_threshold, float confidence_threshold, int top_k, int keep_top_k); diff --git a/libfacedetection/include/facedetection_export.h b/libfacedetection/include/facedetection_export.h new file mode 100644 index 0000000..a1e5002 --- /dev/null +++ b/libfacedetection/include/facedetection_export.h @@ -0,0 +1,42 @@ + +#ifndef FACEDETECTION_EXPORT_H +#define FACEDETECTION_EXPORT_H + +#ifdef FACEDETECTION_STATIC_DEFINE +# define FACEDETECTION_EXPORT +# define FACEDETECTION_NO_EXPORT +#else +# ifndef FACEDETECTION_EXPORT +# ifdef facedetection_EXPORTS + /* We are building this library */ +# define FACEDETECTION_EXPORT __attribute__((visibility("default"))) +# else + /* We are using this library */ +# define FACEDETECTION_EXPORT __attribute__((visibility("default"))) +# endif +# endif + +# ifndef FACEDETECTION_NO_EXPORT +# define FACEDETECTION_NO_EXPORT __attribute__((visibility("hidden"))) +# endif +#endif + +#ifndef FACEDETECTION_DEPRECATED +# define FACEDETECTION_DEPRECATED __attribute__ ((__deprecated__)) +#endif + +#ifndef FACEDETECTION_DEPRECATED_EXPORT +# define FACEDETECTION_DEPRECATED_EXPORT FACEDETECTION_EXPORT FACEDETECTION_DEPRECATED +#endif + +#ifndef FACEDETECTION_DEPRECATED_NO_EXPORT +# define FACEDETECTION_DEPRECATED_NO_EXPORT FACEDETECTION_NO_EXPORT FACEDETECTION_DEPRECATED +#endif + +#if 0 /* DEFINE_NO_DEPRECATED */ +# ifndef FACEDETECTION_NO_DEPRECATED +# define FACEDETECTION_NO_DEPRECATED +# endif +#endif + +#endif /* FACEDETECTION_EXPORT_H */ diff --git a/libfacedetection/src/facedetectcnn-data.cpp b/libfacedetection/src/facedetectcnn-data.cpp new file mode 100644 index 0000000..7be51a1 --- /dev/null +++ b/libfacedetection/src/facedetectcnn-data.cpp @@ -0,0 +1,167 @@ +// Auto generated data file +// Copyright (c) 2018-2023, Shiqi Yu, all rights reserved. +#include "facedetectcnn.h" + +float backbone__model0_pw_weight[16*32*1*1] = {0.00122f,0.00239f,0.00216f,-0.000522f,-0.000684f,-0.000736f,-0.000954f,-0.00216f,-0.002f,0.00161f,0.0028f,0.00249f,-0.00101f,-0.00134f,-0.00135f,-0.00173f,-0.00327f,-0.00285f,0.000681f,0.00167f,0.00173f,-0.000645f,-0.000979f,-0.00069f,0.00197f,0.00065f,0.00131f,0.f,0.f,0.f,0.f,0.f,-0.000824f,-0.000333f,0.000789f,-0.000837f,-0.000305f,0.000751f,-0.000499f,-0.000182f,0.000651f,-0.000318f,0.000213f,0.00169f,-0.000913f,-0.000345f,0.00107f,-0.00021f,0.000193f,0.00138f,-0.000765f,-0.000598f,0.000856f,-0.00168f,-0.00147f,-0.00012f,-0.000548f,-0.000455f,0.000664f,0.f,0.f,0.f,0.f,0.f,0.000267f,0.000202f,-0.00129f,0.000959f,0.00074f,-0.000962f,0.000595f,0.000413f,-0.00122f,0.000586f,0.000369f,-0.00127f,0.00123f,0.000849f,-0.00101f,0.000819f,0.000482f,-0.00131f,0.000605f,0.000515f,-0.00114f,0.000838f,0.00059f,-0.00127f,0.000568f,0.000361f,-0.00144f,0.f,0.f,0.f,0.f,0.f,8.6e-06f,-0.000646f,-0.000371f,0.000425f,-0.000181f,0.00088f,0.000776f,9.39e-06f,0.00128f,0.00059f,-4.05e-06f,-4.02e-05f,-0.000884f,-0.00152f,-0.000677f,-0.00183f,-0.00271f,-0.00148f,0.00126f,0.000459f,0.000762f,0.000513f,-0.000232f,0.000953f,-0.000887f,-0.00186f,-0.0002f,0.f,0.f,0.f,0.f,0.f,-0.00151f,0.00131f,-0.0002f,-0.00127f,0.00132f,7.72e-05f,-0.000569f,0.00177f,0.000582f,-0.00202f,0.000843f,-0.000669f,-0.00229f,0.000385f,-0.000894f,-0.00255f,-0.000113f,-0.00141f,-0.000926f,0.00233f,0.000315f,-0.000176f,0.00303f,0.0012f,-0.00099f,0.00205f,0.000166f,0.f,0.f,0.f,0.f,0.f,0.00141f,0.00304f,0.00173f,0.00349f,0.0049f,0.00241f,0.00303f,0.00445f,0.00229f,-0.00143f,-0.00115f,-0.000904f,-0.0015f,-0.00152f,-0.00236f,-0.000391f,-0.000231f,-0.000779f,-0.00148f,-0.00193f,9.87e-05f,-0.00282f,-0.00362f,-0.00268f,-0.00153f,-0.0022f,-0.00108f,0.f,0.f,0.f,0.f,0.f,-0.00081f,0.00102f,-0.00146f,-0.00033f,0.00134f,-0.00134f,-0.000464f,0.00119f,-0.0011f,0.000263f,0.00181f,-0.00111f,0.000472f,0.0019f,-0.00125f,-0.000123f,0.00134f,-0.00142f,0.000428f,0.00189f,-0.00112f,0.000642f,0.00204f,-0.00122f,-4.28e-05f,0.00144f,-0.00145f,0.f,0.f,0.f,0.f,0.f,0.00112f,-0.00111f,0.00124f,0.000165f,-0.00198f,0.000625f,0.000405f,-0.0018f,0.000435f,0.000595f,-0.00141f,0.000509f,-0.000725f,-0.00268f,-0.000502f,0.000188f,-0.0019f,1.33e-05f,0.0013f,-0.000741f,0.000617f,0.000943f,-0.00107f,0.000532f,0.00149f,-0.000687f,0.000744f,0.f,0.f,0.f,0.f,0.f,0.000174f,-0.00194f,0.000721f,0.000694f,-0.00127f,0.00207f,0.000667f,-0.0019f,0.00139f,-0.000267f,-0.00228f,0.000145f,0.00118f,-0.00072f,0.0025f,0.000492f,-0.00212f,0.00121f,0.000531f,-0.00194f,-0.000488f,0.00235f,-4.66e-05f,0.00227f,0.000804f,-0.00234f,0.000199f,0.f,0.f,0.f,0.f,0.f,0.00212f,0.00056f,0.00146f,0.000984f,0.000783f,0.000573f,8.54e-05f,0.00171f,0.00101f,-0.00292f,-0.00494f,-0.00354f,-0.00226f,-0.00278f,-0.00269f,0.00104f,0.00263f,0.00205f,0.000944f,-0.000911f,0.000855f,-0.000849f,-0.00139f,-0.000898f,0.00111f,0.00249f,0.00251f,0.f,0.f,0.f,0.f,0.f,3.91e-05f,0.00114f,0.00118f,-0.000464f,0.000576f,0.00048f,-0.000301f,0.000772f,0.000801f,-0.000459f,0.000515f,0.000659f,-0.00108f,-0.000132f,-0.000147f,-0.000775f,0.000225f,0.000304f,-7.52e-05f,0.000696f,0.00117f,-0.000429f,0.000336f,0.000621f,-0.000162f,0.000675f,0.00102f,0.f,0.f,0.f,0.f,0.f,-0.000205f,-0.0017f,-0.000313f,-0.00314f,-0.00441f,-0.00293f,0.000865f,6.66e-05f,0.000775f,0.00142f,0.000645f,0.00165f,-0.000631f,-0.00108f,-6.76e-06f,0.00218f,0.00228f,0.00267f,0.000907f,0.000391f,0.00105f,-0.000888f,-0.00101f,-0.000385f,0.000438f,0.000818f,0.000845f,0.f,0.f,0.f,0.f,0.f,0.000383f,0.00171f,0.0014f,0.00206f,0.00365f,0.00388f,0.000981f,0.0024f,0.00225f,2.34e-05f,0.000112f,0.000178f,-0.000917f,-0.000846f,-0.000328f,-0.000119f,-0.000137f,-0.000195f,0.000305f,-0.001f,-0.00103f,-0.00266f,-0.00437f,-0.00381f,-0.00015f,-0.00178f,-0.00182f,0.f,0.f,0.f,0.f,0.f,1.41e-05f,-0.00121f,-0.000165f,-0.000174f,-0.00103f,-0.000719f,0.000261f,-6.83e-05f,-1.55e-06f,-0.000357f,-0.00167f,-0.000651f,-0.000568f,-0.00153f,-0.00109f,0.000146f,-0.000218f,0.000139f,0.00069f,-0.000961f,0.000727f,9.9e-05f,-0.00121f,8.09e-06f,0.000364f,-0.000414f,0.000911f,0.f,0.f,0.f,0.f,0.f,0.000526f,0.000758f,3.26e-05f,7.85e-05f,0.000488f,0.00033f,0.000207f,0.000276f,0.000458f,-8.38e-05f,0.00018f,0.000215f,-0.000188f,0.00037f,0.000939f,0.000118f,0.000407f,0.00123f,0.000217f,-0.000292f,-0.000752f,-7.5e-05f,-0.00031f,-0.000252f,0.000548f,0.000113f,0.00036f,0.f,0.f,0.f,0.f,0.f,-7.91e-05f,-0.000881f,-0.000466f,0.00014f,-0.000772f,-0.000223f,-0.000355f,-0.00111f,-0.000468f,-3.67e-05f,-0.000494f,-0.000328f,-0.000187f,-0.000788f,-0.000391f,-0.000816f,-0.00127f,-0.000725f,0.000428f,9.96e-05f,0.000111f,4.36e-05f,-0.000408f,-8.04e-05f,-0.000694f,-0.00105f,-0.000514f,0.f,0.f,0.f,0.f,0.f}; +float backbone__model0_pw_bias[16] = {0.323f,0.213f,0.388f,0.507f,0.203f,-0.415f,0.128f,0.723f,0.072f,0.252f,-1.44f,0.107f,0.318f,0.561f,0.101f,0.368f}; +float backbone__model0_dp_pw_weight[16*16*1*1] = {-0.00499f,-0.0456f,-0.0892f,-0.18f,0.0462f,-0.0811f,-0.00909f,0.00591f,0.0865f,-0.071f,-0.0135f,-0.0402f,0.0855f,-0.247f,0.719f,-0.426f,-0.183f,0.0144f,0.0105f,-0.0969f,-0.0133f,-0.215f,0.0843f,0.058f,-0.00789f,0.252f,0.308f,0.236f,0.232f,0.0842f,0.573f,-0.128f,0.0363f,0.069f,0.425f,0.213f,-0.499f,-0.0665f,0.459f,0.595f,0.428f,0.0303f,0.0453f,0.0938f,0.0576f,0.0941f,0.0175f,0.00336f,0.0563f,-0.402f,-0.286f,-0.0531f,-0.421f,0.0366f,-0.522f,0.348f,0.497f,0.0924f,0.205f,-0.0867f,-0.0959f,0.0709f,-0.0629f,-0.00406f,-0.0793f,0.128f,-0.0541f,-0.242f,-0.295f,-0.0372f,0.0981f,-0.173f,0.000686f,-0.116f,0.122f,0.00786f,0.0491f,-0.32f,0.0987f,-0.359f,0.181f,-0.0175f,0.0816f,0.0631f,0.0855f,0.383f,-0.0797f,0.0579f,-0.012f,-0.234f,0.0727f,0.101f,-0.424f,0.00754f,0.0848f,0.0885f,0.186f,-0.0298f,0.0952f,0.0176f,-0.0509f,-0.331f,-0.0831f,-0.0276f,-0.101f,-0.0775f,-0.128f,-0.0774f,0.356f,-0.0316f,-0.655f,0.209f,0.331f,0.0939f,0.0617f,0.155f,-0.0547f,-0.0155f,0.025f,0.155f,-0.214f,-0.0262f,0.131f,0.152f,0.16f,0.0163f,-0.058f,0.241f,0.113f,0.13f,0.15f,-0.132f,-0.0976f,0.196f,-0.0896f,-0.192f,-0.0985f,-0.075f,0.111f,0.323f,-0.32f,0.143f,0.0367f,-0.0448f,0.104f,0.0507f,-0.106f,0.105f,-0.0913f,-0.364f,0.107f,-0.0408f,-0.0527f,-0.0748f,-0.0705f,-0.117f,0.527f,-0.134f,-0.00942f,-0.0233f,0.0254f,0.187f,-0.0818f,0.0852f,-0.0957f,0.0582f,0.073f,0.138f,-0.156f,0.245f,0.411f,0.0683f,-0.0689f,0.525f,-0.173f,0.532f,0.000937f,-0.00496f,-0.045f,-0.22f,-0.0401f,0.00207f,-0.035f,-0.000227f,-0.0184f,-0.0612f,0.0545f,-0.057f,-0.0137f,-0.22f,0.655f,-0.331f,-0.0707f,-0.764f,0.433f,-0.254f,-0.147f,0.0434f,-0.129f,-0.261f,-0.426f,0.0156f,-0.399f,-0.14f,-0.0562f,-0.0896f,-0.0804f,-0.0462f,0.265f,-0.0596f,-0.0216f,0.175f,0.0696f,0.1f,-0.0099f,-0.0218f,0.0516f,-0.266f,0.0283f,-0.0205f,-0.312f,-0.0773f,-0.0374f,0.192f,-0.256f,-0.00165f,-0.062f,-0.114f,-0.0706f,-0.147f,0.0674f,0.124f,-0.215f,0.272f,0.0458f,0.173f,0.129f,0.199f,0.0539f,-0.127f,0.254f,0.0761f,0.0475f,0.245f,-0.0642f,-0.138f,0.0294f,0.0377f,0.0428f,-0.159f,0.103f,-0.281f,0.34f,-0.0506f,-0.0829f,0.115f}; +float backbone__model0_dp_pw_bias[16] = {-0.434f,-0.21f,-0.0273f,-0.164f,-0.11f,-0.126f,0.0578f,-0.439f,0.179f,0.0698f,0.0218f,0.147f,-0.00541f,0.133f,-0.119f,-0.15f}; +float backbone__model0_dp_dw_weight[16*1*3*3] = {-0.875f,-0.0483f,-0.138f,0.0147f,-0.957f,0.157f,0.154f,0.617f,0.23f,1.3f,-0.345f,0.52f,-0.147f,0.086f,0.345f,-0.306f,-1.46f,-0.39f,0.62f,-0.44f,-1.13f,-1.76f,-0.394f,0.557f,0.411f,1.57f,-0.0385f,1.3f,0.217f,0.21f,0.381f,-0.699f,-0.799f,0.0224f,0.0741f,-0.665f,-0.88f,-0.89f,0.097f,-0.374f,0.255f,0.106f,0.557f,0.8f,-0.114f,0.162f,-0.221f,0.224f,-0.32f,-0.0732f,-0.162f,-0.263f,1.68f,1.3f,-0.324f,0.311f,-1.26f,0.534f,-0.406f,-0.735f,0.0868f,-1.56f,0.224f,-2.06f,0.426f,-0.545f,0.654f,-0.29f,2.7f,1.96f,-0.453f,1.84f,-1.83f,-1.79f,1.35f,0.255f,0.671f,2.32f,1.97f,0.816f,-0.243f,-0.092f,0.665f,0.123f,2.22f,-1.32f,-0.28f,-2.78f,-1.66f,-0.888f,0.111f,0.359f,0.352f,0.0539f,-1.03f,1.28f,0.773f,-0.184f,0.363f,0.128f,-0.75f,0.276f,-0.0827f,0.43f,0.959f,-0.605f,0.0564f,-0.724f,-0.152f,-1.32f,-0.551f,-0.63f,1.12f,-0.154f,-0.411f,0.124f,-1.49f,1.13f,-0.13f,0.949f,1.3f,-0.514f,0.143f,-1.23f,0.23f,-0.296f,1.62f,1.87f,0.959f,0.0101f,-0.00507f,-0.0286f,-1.35f,-0.0225f,-0.0739f,-1.55f,0.968f,-0.276f,0.22f,-0.725f,-0.0691f,0.9f,-1.95f,-0.243f}; +float backbone__model0_dp_dw_bias[16] = {0.347f,1.57f,-0.714f,-0.0687f,-0.0442f,0.052f,0.348f,-0.0556f,0.0415f,0.097f,0.331f,0.366f,1.61f,-0.0599f,0.0049f,-0.0429f}; +float backbone__model1_dp1_pw_weight[16*16*1*1] = {0.187f,0.693f,-0.0894f,0.0417f,-0.018f,-0.0313f,-0.442f,0.117f,0.0207f,0.00872f,0.371f,-0.0354f,0.0174f,-0.0921f,0.0463f,-0.0266f,0.338f,-0.17f,0.0522f,0.00663f,0.047f,-0.197f,-0.0636f,-0.595f,0.116f,0.36f,0.0251f,0.11f,0.0255f,-0.514f,-0.709f,-0.0834f,0.166f,0.178f,-0.095f,-0.0519f,-0.158f,0.00233f,0.295f,-0.0936f,-0.275f,0.0458f,0.00784f,-0.337f,0.0999f,-0.017f,-0.21f,-0.103f,-0.256f,0.441f,-0.17f,-0.0484f,-0.124f,-0.121f,-0.448f,-0.0835f,-0.0806f,-0.0534f,-0.107f,-0.391f,-0.272f,-0.102f,-0.00661f,-0.0541f,0.0391f,0.172f,0.233f,0.402f,0.0181f,0.0157f,-0.0026f,-0.00366f,0.0177f,0.0432f,-0.0415f,-0.0102f,1.37f,0.014f,-0.0102f,0.0311f,-0.229f,0.174f,0.0231f,0.054f,-0.677f,-0.03f,0.209f,0.21f,-0.731f,-0.477f,0.263f,0.0131f,0.0847f,0.189f,0.189f,-0.0824f,0.0666f,0.401f,0.0637f,0.026f,0.0537f,-0.023f,-0.539f,0.0178f,0.0438f,0.0442f,0.443f,0.102f,-0.00493f,0.0221f,0.0155f,0.0414f,-0.14f,0.192f,0.0141f,0.0406f,-0.255f,-0.619f,0.269f,0.207f,-0.237f,0.307f,0.283f,-0.189f,0.0332f,-0.45f,0.0352f,0.533f,0.121f,0.165f,-0.582f,0.821f,-0.00434f,-0.0564f,0.107f,-0.00408f,-0.0252f,0.00463f,0.0549f,-0.0601f,-0.0209f,-0.0249f,0.0223f,-0.0755f,-0.658f,-0.333f,-0.0513f,-0.0438f,-0.213f,0.0854f,-0.592f,-0.0427f,-0.144f,-0.0954f,-0.0832f,0.345f,-0.146f,-0.0319f,-0.0371f,-0.0319f,0.032f,0.494f,0.000255f,-0.0212f,-0.00864f,-0.0134f,-0.598f,-0.0271f,0.00153f,-0.00362f,0.208f,-0.167f,-0.133f,0.0171f,-0.0309f,-0.0884f,0.104f,-0.139f,0.0154f,0.0304f,0.0978f,0.57f,-0.0697f,-0.415f,0.099f,-0.429f,-0.0307f,0.0933f,-0.0248f,0.386f,-0.131f,-0.723f,-0.0688f,-0.124f,0.16f,0.0695f,0.133f,0.0151f,-0.0424f,-0.0336f,-0.0869f,-0.366f,-0.245f,-0.0205f,0.128f,0.00677f,-0.00342f,0.151f,-0.0557f,0.33f,0.132f,0.112f,0.00838f,0.206f,0.227f,0.0833f,0.112f,0.072f,0.617f,-0.0323f,0.122f,0.138f,0.0789f,0.0412f,0.712f,0.189f,0.0103f,-0.0187f,0.0497f,-0.021f,0.324f,-0.12f,-0.0503f,0.0306f,0.0368f,-0.591f,0.00653f,0.00243f,-0.0259f,0.0867f,0.0165f,-0.426f,0.956f,0.423f,0.081f,0.0199f,0.105f,-0.0398f,0.0381f,-0.0324f,0.299f,0.0265f,0.186f,-0.0185f,-0.0663f,0.0523f}; +float backbone__model1_dp1_pw_bias[16] = {-0.143f,-0.094f,-0.1f,0.31f,-0.133f,-0.0161f,-0.252f,-0.0366f,-0.0368f,0.165f,0.199f,-0.0272f,0.146f,-0.167f,0.00272f,-0.124f}; +float backbone__model1_dp1_dw_weight[16*1*3*3] = {-0.499f,0.0958f,0.231f,-0.187f,-0.0622f,0.0493f,0.606f,-0.014f,0.0859f,-0.0927f,0.0966f,0.0235f,0.133f,0.0164f,-0.0466f,0.0889f,-0.631f,0.701f,1.26f,0.542f,0.123f,-0.585f,0.0964f,0.364f,-0.182f,-0.00624f,0.243f,0.574f,1.34f,0.023f,0.141f,-0.0172f,-0.459f,0.0669f,0.214f,-0.00365f,-0.0872f,0.0243f,-0.658f,0.0297f,0.128f,-0.039f,-0.219f,0.246f,-0.0659f,-0.00783f,-0.0594f,0.0788f,-0.0799f,-0.0271f,0.00154f,-0.392f,0.205f,0.0143f,0.842f,0.0596f,-0.0705f,-0.242f,0.364f,-0.037f,0.214f,0.101f,-0.0653f,-0.093f,0.494f,0.21f,-1.45f,1.f,-1.03f,-0.414f,-0.159f,0.915f,0.787f,1.88f,1.34f,0.559f,-1.57f,-1.2f,1.06f,0.965f,-0.16f,-0.0693f,0.0765f,0.176f,0.127f,0.0348f,-0.799f,0.0852f,0.0273f,-0.159f,-1.05f,0.149f,-0.405f,0.0475f,0.0168f,-0.0453f,0.223f,-0.0126f,-0.0993f,-0.0781f,-0.0532f,-0.0395f,0.294f,-0.0239f,-0.0657f,0.0807f,-0.118f,0.0439f,0.0884f,-0.06f,0.0633f,-0.138f,0.972f,-0.024f,-0.0524f,-0.54f,0.182f,-0.0231f,-0.00895f,0.00242f,0.33f,-0.209f,-0.228f,-0.0273f,0.23f,0.25f,-0.177f,0.112f,0.172f,0.00596f,0.0294f,-0.148f,-0.093f,0.0351f,-0.184f,0.0364f,-0.116f,0.0115f,-0.316f,-0.0168f,-0.0749f,-0.0359f,0.0416f,-0.103f}; +float backbone__model1_dp1_dw_bias[16] = {0.107f,1.04f,-0.0479f,0.932f,1.68f,0.747f,0.139f,-0.335f,0.0955f,1.55f,0.317f,0.744f,0.0206f,1.56f,-0.478f,-0.134f}; +float backbone__model1_dp2_pw_weight[32*16*1*1] = {-0.139f,-0.349f,-0.102f,-0.0583f,0.325f,-0.148f,-0.0863f,0.00421f,0.0135f,-0.0235f,0.184f,-0.124f,-0.0451f,0.0355f,-0.0648f,-0.22f,-0.0726f,0.445f,0.0925f,0.00799f,-0.0513f,0.35f,0.143f,0.267f,0.0753f,0.0527f,-0.117f,0.147f,-0.0525f,0.0999f,0.0312f,0.0442f,0.137f,0.322f,0.217f,0.159f,-0.0739f,-0.106f,-0.135f,-0.0942f,0.0238f,0.305f,0.0144f,0.158f,0.245f,-0.136f,-0.0481f,0.0668f,0.0667f,0.0367f,0.0761f,-0.042f,-0.649f,0.0386f,-0.0727f,0.01f,-0.0347f,-0.0167f,0.0607f,0.0294f,-0.00755f,0.411f,0.0884f,-0.0105f,0.0543f,0.43f,-0.0313f,0.202f,0.0445f,-0.0403f,0.0523f,-0.08f,0.00348f,-0.31f,0.0394f,0.127f,-0.0327f,0.0076f,0.0189f,-0.206f,-0.116f,-0.398f,-0.0927f,-0.192f,0.0544f,0.0596f,0.24f,-0.512f,-0.0271f,0.00116f,-0.134f,0.302f,-0.297f,-0.305f,-0.194f,-0.00758f,0.192f,0.233f,0.469f,-0.219f,-0.126f,0.132f,0.0315f,0.0527f,-0.00153f,0.328f,-0.0711f,0.134f,0.323f,-0.172f,0.214f,0.00837f,-0.0992f,0.434f,-0.102f,0.0159f,0.0071f,0.0145f,-0.0192f,0.198f,0.234f,0.171f,0.0275f,0.0774f,0.00551f,0.42f,-0.101f,0.198f,0.452f,-0.0985f,0.0541f,0.0417f,-0.0361f,-0.195f,0.485f,-0.0177f,-0.00496f,0.0488f,0.288f,0.126f,-0.0522f,-0.0894f,-0.375f,0.024f,0.0546f,-0.14f,0.0165f,-0.188f,-0.0473f,-0.336f,0.0104f,-0.405f,0.0106f,0.23f,-0.0412f,0.583f,-0.231f,-0.09f,-0.0173f,-0.0522f,0.316f,-0.0485f,0.0641f,-0.00148f,-0.00514f,-0.0114f,-0.407f,0.0295f,0.00095f,0.22f,-0.0261f,0.107f,0.298f,-0.17f,-0.179f,0.0529f,0.124f,-0.105f,-0.0138f,-0.378f,-0.142f,-0.184f,-0.0591f,0.283f,0.0349f,-0.0813f,0.0216f,-0.142f,0.0627f,-0.345f,0.0129f,0.746f,-0.122f,0.0439f,-0.094f,0.356f,-0.124f,0.0527f,0.283f,0.231f,0.0258f,-0.275f,0.396f,0.00541f,0.194f,-0.0181f,0.222f,0.0693f,-0.679f,0.0387f,0.222f,0.162f,0.162f,-0.254f,-0.0972f,-0.0486f,-0.0921f,-0.228f,0.151f,-0.00261f,-0.218f,0.222f,0.0128f,0.044f,-0.124f,-0.541f,-0.366f,0.159f,-0.169f,-0.323f,0.15f,0.332f,0.058f,-0.193f,-0.111f,-0.317f,-0.0767f,-0.173f,-0.0229f,-0.0137f,0.064f,0.214f,-0.00891f,0.509f,0.00278f,-0.0297f,-0.821f,-0.08f,-0.0393f,-0.0716f,-0.439f,0.19f,0.0805f,-0.0561f,-0.0617f,0.0247f,0.022f,0.191f,-0.0416f,-0.162f,-0.0407f,0.78f,0.0126f,-0.15f,0.0669f,0.0597f,-0.0507f,-0.142f,0.181f,-0.0806f,0.0194f,0.0394f,0.108f,-0.0145f,0.179f,-0.385f,-0.296f,0.287f,-0.042f,-0.177f,0.0033f,0.14f,-0.135f,-0.0017f,0.109f,0.209f,0.178f,-0.249f,0.0192f,0.107f,0.017f,-0.0535f,0.087f,-0.0893f,-0.00903f,0.012f,-0.653f,-0.0228f,-0.00362f,0.0334f,0.0628f,-0.103f,0.0925f,0.416f,0.148f,0.247f,0.225f,-0.102f,0.07f,-0.287f,-0.0162f,-0.00629f,0.051f,0.303f,-0.0831f,0.105f,-0.0468f,0.424f,0.0928f,0.217f,-0.0694f,-0.0533f,0.039f,-0.073f,0.396f,0.154f,0.0522f,-0.0202f,-0.687f,-0.0856f,-0.0576f,-0.0206f,-0.00377f,0.143f,0.019f,-0.457f,-0.117f,0.057f,-0.0503f,-0.023f,0.365f,0.00774f,-0.0836f,-0.00886f,0.29f,0.0339f,0.000872f,0.135f,-0.0863f,0.351f,-0.204f,0.168f,0.0343f,-0.26f,-0.0307f,0.164f,-0.0687f,0.199f,-0.032f,-0.00858f,-0.00995f,-0.135f,-0.402f,-0.081f,-0.00646f,-0.267f,0.422f,0.0306f,-0.0307f,-0.0271f,-0.0374f,-0.0161f,-0.9f,-0.11f,-0.0458f,-0.00272f,0.178f,-0.0702f,0.0131f,0.0243f,-0.0808f,-0.0332f,0.00482f,0.129f,0.084f,0.212f,0.328f,-0.395f,-0.104f,-0.0599f,-0.0482f,-0.104f,0.136f,-0.216f,-0.128f,0.217f,0.137f,0.00201f,0.634f,-0.0521f,-0.0831f,-0.028f,-0.0469f,0.0245f,0.218f,-0.0559f,0.0524f,-0.0363f,-0.192f,-0.0379f,0.0331f,0.302f,-0.214f,0.13f,0.074f,-0.162f,0.518f,-0.1f,0.00618f,0.115f,-0.013f,0.187f,0.118f,0.0878f,-0.0627f,-0.23f,0.0293f,0.0857f,0.128f,0.061f,0.272f,-0.144f,-0.186f,-0.0821f,-0.0308f,0.391f,-0.0295f,-0.184f,-0.139f,0.0445f,-0.0557f,-0.272f,0.156f,0.136f,-0.104f,-0.0332f,0.434f,-0.012f,0.0594f,0.102f,-0.184f,-0.00309f,-0.0349f,-0.00747f,-0.219f,-0.0635f,0.0226f,0.0233f,0.534f,0.12f,0.0569f,-0.256f,-0.0734f,-0.0255f,0.0881f,0.0459f,0.0465f,-0.0627f,0.722f,-0.0225f,0.0268f,0.0882f,0.383f,-0.0256f,-0.159f,0.0714f,-0.0375f,-0.184f,0.0514f,0.0637f,0.0821f,-0.0192f,0.0581f,-0.048f,0.6f,0.0339f,-0.012f,0.0177f,-0.373f,-0.0355f,-0.0197f,-0.0302f,0.0409f,0.00637f,0.12f,-0.355f,-0.132f,-0.178f,-0.174f,0.0948f,-0.126f,-0.169f,0.0182f,0.109f,0.108f,-0.134f,0.141f,-0.165f,-0.0408f,-0.202f,-0.0963f,0.246f}; +float backbone__model1_dp2_pw_bias[32] = {0.349f,-0.0689f,0.015f,0.185f,-0.0971f,0.0646f,-0.0267f,-0.31f,-0.096f,-0.0015f,0.0176f,-0.0715f,-0.0261f,0.0034f,0.0254f,-0.0605f,-0.00821f,-0.147f,-0.0732f,-0.00382f,0.089f,-0.201f,-0.0468f,-0.0104f,-0.0238f,0.12f,0.293f,-0.141f,-0.038f,-0.551f,-0.149f,0.0599f}; +float backbone__model1_dp2_dw_weight[32*1*3*3] = {-0.36f,-0.242f,0.134f,1.09f,-0.302f,0.0239f,-0.311f,0.438f,-0.648f,-0.221f,-0.0755f,0.0411f,0.151f,-0.196f,-0.0689f,0.114f,0.242f,-0.77f,-1.03f,-0.142f,-0.164f,0.773f,-0.292f,-0.66f,0.0237f,0.403f,-0.723f,0.452f,0.109f,-0.557f,0.719f,1.19f,-0.809f,0.00508f,0.0717f,-0.308f,-0.517f,0.258f,0.437f,0.186f,0.164f,-0.159f,0.357f,-0.101f,-0.593f,0.166f,-0.373f,-0.0387f,-0.126f,-1.66f,-0.922f,0.268f,0.29f,-0.986f,0.382f,-0.587f,0.724f,-0.111f,-0.238f,-0.742f,-0.226f,-1.38f,-0.238f,-0.348f,-0.51f,0.273f,0.281f,-0.807f,-0.0576f,0.167f,-0.0478f,-0.129f,-0.232f,0.259f,-0.481f,0.12f,-0.449f,-0.0818f,-0.226f,0.0954f,-0.205f,-0.148f,-0.663f,-0.288f,-0.196f,-0.33f,-0.0602f,-0.479f,-0.12f,-1.41f,-0.309f,0.284f,0.306f,-0.164f,-0.856f,-0.901f,-0.158f,-0.164f,0.0166f,0.997f,-0.146f,0.105f,-0.425f,0.374f,-0.722f,-0.0508f,-0.257f,-0.11f,-0.709f,-0.193f,0.224f,0.568f,0.051f,0.497f,0.0646f,-0.00668f,0.271f,2.07f,-0.604f,-0.35f,-0.149f,0.159f,0.0941f,0.149f,-1.75f,-0.432f,1.48f,1.17f,0.0696f,-0.339f,1.25f,0.318f,-1.23f,0.631f,-1.29f,-0.658f,-0.0855f,-0.629f,-1.34f,-1.07f,-0.00288f,-0.0647f,-0.591f,1.27f,-0.685f,1.62f,0.636f,-1.35f,1.44f,-0.404f,-0.256f,0.0999f,-1.74f,-1.18f,-0.53f,1.25f,1.72f,-0.633f,0.194f,-0.801f,-0.37f,0.201f,0.886f,-1.33f,-0.514f,-0.00563f,-0.168f,-0.51f,0.132f,0.0348f,0.177f,0.167f,0.15f,-0.159f,0.367f,-0.211f,-0.698f,-0.0413f,-0.302f,0.0399f,-0.171f,-1.f,0.471f,-0.084f,0.027f,0.0862f,0.0463f,-0.203f,0.0544f,-0.695f,-0.919f,-0.237f,0.627f,0.929f,-0.604f,0.612f,0.435f,0.188f,-0.0954f,0.0276f,0.113f,0.368f,-0.0733f,0.042f,-0.507f,0.23f,-0.00378f,0.184f,0.126f,0.104f,0.557f,0.156f,-0.226f,0.577f,-0.316f,0.512f,0.0437f,-0.389f,-0.406f,0.0361f,-0.234f,1.19f,0.346f,0.217f,1.1f,2.08f,-1.04f,0.366f,2.11f,0.282f,0.0706f,-0.211f,-0.0919f,-0.283f,-0.147f,-0.122f,0.345f,1.76f,-0.543f,0.098f,0.149f,0.475f,1.21f,0.233f,-0.385f,-0.556f,-1.1f,1.07f,-0.314f,-0.164f,-0.0248f,0.305f,-0.447f,2.02f,-0.102f,0.00533f,0.606f,-0.739f,-0.528f,-0.794f,0.467f,-0.0941f,0.0335f,-0.389f,-0.0942f,-0.557f,0.409f,0.0826f,0.0736f,-0.0116f,-0.0281f,0.0649f,0.111f,0.11f,0.388f,0.0498f,0.081f,0.0409f,-0.129f,0.441f,0.0467f,0.948f,-0.519f,0.229f,-0.113f,0.522f,-0.628f,-0.207f}; +float backbone__model1_dp2_dw_bias[32] = {0.223f,-1.4f,-0.152f,-0.0601f,-0.104f,1.5f,0.568f,0.907f,0.2f,0.0467f,-0.00768f,0.0175f,1.f,-0.0166f,-0.482f,-0.295f,0.822f,0.0923f,-0.0446f,0.839f,0.298f,0.00922f,-0.569f,0.286f,0.18f,0.292f,1.65f,0.214f,0.377f,-0.0535f,-0.009f,0.0448f}; +float backbone__model2_dp1_pw_weight[32*32*1*1] = 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+float backbone__model2_dp1_pw_bias[32] = {0.0103f,-0.146f,0.0708f,-0.0476f,0.0129f,0.0824f,-0.0213f,-0.00832f,0.143f,0.0058f,-0.00942f,-0.114f,-0.00738f,0.0648f,-0.0913f,-0.145f,-0.0481f,0.121f,0.177f,-0.026f,-0.0722f,0.0136f,0.132f,0.043f,-0.0366f,-0.188f,-0.15f,-0.0546f,0.0135f,0.00173f,-0.00419f,0.0361f}; +float backbone__model2_dp1_dw_weight[32*1*3*3] = {0.573f,0.0742f,-0.378f,-0.0295f,-0.0786f,0.295f,-0.0683f,-0.125f,0.0616f,0.251f,-0.186f,0.0534f,0.199f,1.53f,0.053f,0.374f,-1.38f,0.182f,-0.303f,0.21f,0.216f,-0.378f,0.401f,-0.109f,-0.0395f,1.11f,0.102f,-0.695f,-0.345f,-0.0317f,-0.455f,-0.724f,0.74f,0.466f,0.183f,-0.0598f,2.07f,0.875f,0.45f,-0.429f,0.453f,0.652f,0.665f,0.821f,-0.19f,-0.041f,0.381f,0.405f,-1.18f,0.126f,-0.0838f,0.0929f,-1.04f,-0.372f,-0.608f,-0.235f,0.183f,0.761f,-0.158f,-0.832f,-0.241f,-0.478f,-0.0542f,0.193f,0.587f,0.419f,-0.153f,-0.0909f,-0.489f,0.568f,-0.0621f,-0.14f,0.287f,0.602f,-0.0398f,0.598f,0.0484f,-0.462f,-0.0526f,-0.457f,0.0802f,0.443f,0.143f,-0.111f,-0.375f,0.0103f,-0.802f,-0.741f,0.173f,-0.381f,-1.18f,-0.544f,0.00395f,-0.223f,0.181f,0.984f,-0.212f,-0.103f,-0.0868f,0.249f,-0.0067f,-0.157f,-0.175f,-0.61f,0.281f,-0.749f,-0.382f,-0.138f,-0.323f,0.475f,0.194f,0.975f,-0.0656f,-1.23f,0.00971f,0.291f,-0.267f,-0.778f,0.709f,-0.215f,-0.34f,0.395f,0.101f,-0.31f,-0.0904f,-0.294f,-0.188f,-0.487f,-1.08f,0.145f,1.3f,-0.633f,0.41f,0.194f,-1.f,-0.161f,0.36f,0.735f,0.675f,0.162f,0.541f,-0.214f,0.72f,0.635f,0.781f,-1.28f,-1.72f,1.51f,0.0554f,0.271f,0.572f,0.00929f,-0.601f,-0.176f,-0.0903f,1.24f,-0.768f,-0.0795f,-0.538f,-1.1f,-0.262f,0.482f,0.528f,-0.68f,-0.275f,0.881f,-0.22f,1.55f,0.477f,0.211f,0.585f,-0.00558f,-0.282f,-0.277f,0.0793f,-1.22f,0.173f,0.636f,1.06f,-2.f,-0.279f,0.849f,-0.882f,-0.648f,-0.317f,-0.342f,-0.515f,-0.432f,-0.279f,-0.0231f,-0.164f,0.635f,-0.299f,0.0623f,-0.31f,-0.0982f,0.207f,-0.245f,0.236f,0.0136f,-0.474f,0.00975f,-0.949f,0.0432f,0.298f,-0.254f,0.00221f,0.126f,-0.136f,0.21f,0.0378f,0.79f,-0.0466f,-0.665f,0.847f,-0.0333f,-0.319f,-0.518f,-0.258f,0.157f,0.0951f,-0.116f,-0.0527f,-0.0528f,-0.269f,-0.193f,0.156f,-0.0568f,-0.209f,-0.283f,-0.674f,1.13f,-0.892f,-0.491f,-0.227f,0.16f,1.15f,-0.201f,0.305f,-0.241f,0.948f,-0.153f,-0.362f,-0.503f,0.101f,0.21f,0.371f,0.0355f,-0.914f,-0.48f,0.035f,1.04f,-0.19f,-0.261f,-0.108f,-0.24f,-0.501f,0.224f,0.119f,-0.302f,0.101f,-0.485f,0.251f,0.0476f,-0.635f,-0.166f,0.499f,-0.0129f,0.575f,-0.353f,0.0538f,-0.363f,0.306f,0.929f,0.262f,-0.658f,-0.391f,0.745f,-0.372f,0.0376f,-0.18f,-0.109f,-0.0821f,-0.0188f,0.151f,0.0393f,-0.102f,0.735f}; +float backbone__model2_dp1_dw_bias[32] = {0.489f,0.568f,0.474f,-0.0598f,0.736f,0.585f,-0.342f,-0.152f,0.539f,-0.0808f,0.302f,0.144f,-0.434f,0.208f,0.274f,0.125f,-0.176f,-0.0018f,-0.0441f,0.118f,-0.0118f,0.256f,-0.038f,-0.737f,-1.54f,0.537f,0.471f,0.23f,0.365f,0.6f,0.369f,0.0246f}; +float backbone__model2_dp2_pw_weight[64*32*1*1] = 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+float backbone__model2_dp2_pw_bias[64] = {0.217f,0.0817f,-0.0332f,0.028f,0.0791f,-0.0234f,-0.0149f,-0.0791f,-0.115f,0.0661f,-0.0112f,0.0528f,-0.0149f,-0.0034f,0.0364f,-0.0214f,-0.0176f,-0.0806f,0.0942f,0.00853f,0.00797f,-0.101f,0.00112f,0.0201f,0.0547f,0.14f,-0.139f,-0.0232f,0.0161f,-0.214f,0.051f,-0.14f,0.034f,0.0134f,0.0319f,-0.158f,0.0264f,-0.104f,0.000625f,-0.0661f,0.0559f,-0.126f,0.0499f,0.0407f,-0.0374f,-0.014f,-0.0836f,-0.213f,0.0469f,0.0439f,0.139f,0.0202f,-0.0157f,0.0017f,-0.0381f,0.028f,-0.0644f,0.0324f,-0.131f,-0.0474f,0.102f,-0.0658f,-0.0249f,-0.146f}; +float backbone__model2_dp2_dw_weight[64*1*3*3] = 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+float backbone__model2_dp2_dw_bias[64] = {-0.0572f,0.124f,-0.0891f,0.472f,0.295f,-0.0776f,-0.442f,-0.0607f,-0.0929f,0.12f,0.497f,0.321f,-0.707f,-0.186f,-0.593f,-0.141f,-0.147f,0.136f,-0.131f,-0.611f,0.11f,-0.156f,-0.0645f,0.105f,-0.0498f,0.147f,-0.15f,-0.0343f,-0.149f,-0.141f,0.0605f,0.00992f,0.41f,-0.534f,-0.277f,0.829f,-0.711f,0.118f,0.579f,-0.228f,0.366f,0.4f,0.00502f,0.0483f,-0.347f,0.0212f,0.00614f,-0.358f,-0.0604f,-0.0324f,0.19f,-0.0743f,-0.33f,-0.118f,-0.0351f,-0.523f,0.187f,-1.12f,0.624f,-0.0207f,0.302f,0.532f,-0.396f,0.0455f}; +float backbone__model3_dp1_pw_weight[64*64*1*1] = 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+float backbone__model3_dp1_pw_bias[64] = {0.0539f,-0.0192f,-0.217f,0.298f,-0.105f,0.0201f,0.14f,0.0285f,0.0546f,0.00356f,0.02f,0.0401f,-0.0146f,-0.0131f,0.141f,0.206f,0.102f,-0.0759f,0.0982f,0.0877f,-0.0524f,0.0432f,0.00549f,0.0884f,0.0991f,-0.133f,0.0376f,0.288f,-0.0912f,0.034f,0.0632f,-0.00751f,0.024f,-0.143f,0.14f,0.0607f,0.11f,-0.0787f,0.0862f,0.12f,-0.0728f,-0.0174f,-0.0874f,-0.0353f,-0.127f,-0.0615f,-0.12f,0.0799f,-0.0658f,-0.0625f,0.0143f,0.0428f,0.0223f,0.143f,-0.015f,0.0365f,-0.282f,0.0376f,-0.00817f,0.128f,-0.00684f,0.0424f,0.152f,0.0364f}; +float backbone__model3_dp1_dw_weight[64*1*3*3] = 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+float backbone__model3_dp1_dw_bias[64] = {0.434f,0.132f,0.473f,0.715f,0.234f,0.0308f,0.22f,0.444f,-0.0272f,-0.924f,0.0161f,-0.0277f,0.0863f,0.41f,0.202f,-0.141f,-0.112f,-0.00868f,0.248f,-0.184f,0.107f,0.246f,0.0176f,0.571f,0.591f,0.103f,0.0908f,-0.579f,0.357f,-0.205f,0.184f,0.114f,-0.161f,0.248f,0.0293f,0.514f,0.529f,-0.0154f,0.471f,0.0694f,-0.0697f,0.0865f,0.206f,0.281f,0.326f,-0.166f,-0.0933f,0.424f,0.117f,0.134f,-0.171f,-0.0725f,0.256f,0.273f,-0.053f,-0.338f,-0.348f,0.0602f,0.203f,0.237f,0.0886f,-0.147f,-0.00406f,-0.0371f}; +float backbone__model3_dp2_pw_weight[64*64*1*1] = 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+float backbone__model3_dp2_pw_bias[64] = {-0.105f,0.0228f,0.0604f,0.113f,-0.0579f,-0.061f,-0.221f,0.102f,0.0707f,0.0814f,-0.0742f,-0.107f,0.0415f,0.098f,-0.149f,0.0154f,0.0372f,0.00758f,-0.175f,0.0673f,0.0473f,0.103f,0.0739f,-0.204f,0.194f,-0.0824f,0.19f,-0.038f,0.00914f,0.0974f,0.228f,-0.00788f,0.154f,-0.0817f,-0.0912f,0.0215f,0.0947f,-0.0326f,0.00593f,-0.0905f,-0.00938f,0.0492f,-0.0877f,-0.0776f,-0.117f,-0.0434f,-0.00614f,0.0441f,0.0556f,-0.0603f,0.0512f,0.0642f,0.0262f,-0.035f,-0.0386f,-0.0997f,0.0457f,0.0732f,-0.00681f,0.222f,0.0151f,0.07f,-0.11f,-0.0855f}; +float backbone__model3_dp2_dw_weight[64*1*3*3] = 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+float backbone__model3_dp2_dw_bias[64] = {0.148f,0.11f,0.315f,0.371f,1.3f,0.122f,0.0501f,0.0148f,0.207f,-0.341f,0.232f,-0.223f,0.146f,0.317f,-0.139f,0.21f,0.184f,-0.419f,-0.0272f,-0.228f,0.0428f,-0.108f,0.235f,1.25f,0.0226f,0.155f,-0.108f,0.0387f,0.371f,-0.3f,0.568f,-0.741f,0.0989f,-0.354f,-0.181f,-0.276f,-0.029f,0.619f,0.263f,0.715f,0.808f,0.441f,-0.427f,0.386f,0.059f,0.624f,0.438f,0.244f,0.209f,0.183f,0.157f,0.256f,-0.792f,0.122f,0.338f,-1.13f,0.417f,-0.421f,0.395f,0.36f,-0.15f,0.0394f,-0.105f,-0.0212f}; +float backbone__model4_dp1_pw_weight[64*64*1*1] = 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+float backbone__model4_dp1_pw_bias[64] = {0.126f,0.0023f,0.0241f,0.0299f,0.0625f,-0.189f,0.0187f,0.0953f,0.111f,0.0481f,-0.0857f,-0.048f,-0.00122f,-0.0104f,0.157f,-0.0931f,-0.0766f,-0.0137f,-0.0292f,-0.144f,-0.0588f,-0.143f,-0.0438f,0.0123f,-0.00217f,0.0947f,-0.00546f,0.148f,0.0353f,-0.000282f,-0.163f,0.0375f,-0.0663f,0.0342f,0.0605f,0.0148f,-0.243f,0.0256f,0.124f,0.193f,-0.00628f,0.014f,-0.0235f,-0.0334f,0.0944f,-0.15f,0.0536f,0.0733f,-0.0618f,0.0362f,-0.0689f,0.142f,-0.109f,0.0127f,-0.0857f,0.139f,0.0533f,-0.0399f,-0.084f,-0.106f,0.0969f,0.154f,-0.0893f,-0.139f}; +float backbone__model4_dp1_dw_weight[64*1*3*3] = 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+float backbone__model4_dp1_dw_bias[64] = {0.00121f,0.343f,0.394f,0.0692f,-0.0526f,0.149f,-0.16f,0.144f,0.237f,0.149f,0.248f,0.164f,0.213f,-0.0622f,0.29f,0.0667f,0.101f,0.104f,-0.0186f,0.201f,0.601f,-0.0966f,0.144f,0.0506f,-0.589f,0.147f,0.2f,0.443f,-0.24f,-0.0532f,0.212f,0.0959f,0.0991f,0.166f,-0.209f,0.0222f,-0.15f,-0.209f,0.278f,-0.0565f,-0.198f,0.0416f,0.125f,0.16f,0.576f,0.407f,0.485f,-1.97f,0.0729f,-0.0708f,-0.188f,0.481f,0.47f,0.26f,0.164f,-0.943f,-0.255f,-0.00109f,-0.101f,-0.577f,0.0038f,0.362f,0.114f,0.332f}; +float backbone__model4_dp2_pw_weight[64*64*1*1] = 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+float backbone__model4_dp2_pw_bias[64] = {-0.00942f,0.14f,0.0615f,-0.182f,0.0251f,-0.0792f,-0.14f,-0.0991f,-0.00925f,-0.0176f,0.0439f,0.0124f,-0.149f,0.0733f,-0.0971f,-0.0102f,-0.0346f,0.0683f,-0.0527f,0.187f,-0.0429f,-0.0764f,0.0797f,-0.0605f,0.0364f,0.00402f,0.128f,0.0794f,-0.0589f,0.145f,0.0684f,-0.0786f,0.0438f,0.127f,-0.0374f,0.0557f,0.0899f,-0.0291f,0.0904f,0.0188f,-0.135f,-0.0624f,0.038f,0.204f,-0.0261f,0.0526f,-0.166f,0.0324f,0.0241f,0.0235f,0.219f,0.0708f,0.0965f,-0.167f,-0.0213f,-0.164f,0.00851f,0.101f,0.0377f,0.0307f,0.149f,-0.00551f,0.195f,0.0523f}; +float backbone__model4_dp2_dw_weight[64*1*3*3] = 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+float backbone__model4_dp2_dw_bias[64] = {0.157f,-0.0228f,0.0751f,1.31f,0.0273f,0.00231f,-0.127f,0.193f,0.821f,-0.254f,0.378f,0.336f,0.445f,-0.0459f,-0.506f,0.215f,0.00394f,-0.105f,0.131f,0.107f,0.0778f,0.0699f,-0.224f,0.633f,0.777f,0.0511f,-0.554f,0.0701f,0.786f,0.548f,-0.147f,0.0515f,-0.0099f,-0.137f,0.404f,0.674f,0.301f,-0.739f,-1.55f,0.241f,1.08f,-0.338f,0.533f,-0.227f,0.734f,0.601f,-0.0789f,0.31f,0.199f,0.0315f,-0.268f,0.0817f,0.086f,-0.229f,-0.675f,-0.116f,0.515f,-0.0733f,0.0979f,0.0249f,0.103f,0.0523f,0.17f,0.807f}; +float backbone__model5_dp1_pw_weight[64*64*1*1] = 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+float backbone__model5_dp1_pw_bias[64] = {-0.103f,-0.126f,0.158f,-0.0608f,-0.00635f,-0.0114f,0.107f,0.111f,4.98e-05f,-0.0683f,-0.1f,0.0229f,0.0395f,-0.212f,0.0273f,-0.0661f,0.0189f,0.0344f,-0.16f,-0.0665f,0.03f,0.00232f,-0.0358f,-0.0522f,-0.0908f,0.103f,-0.0565f,-0.0481f,-0.0166f,0.0127f,-0.0786f,-0.04f,0.161f,-0.189f,0.032f,0.0228f,0.0755f,0.0345f,-0.0185f,0.0157f,-0.245f,-0.000503f,-0.0223f,-0.00749f,-0.0436f,-0.149f,-0.171f,-0.00812f,0.0864f,0.0841f,0.115f,-0.157f,-0.0865f,0.0444f,-0.0491f,0.0624f,-0.092f,-0.00481f,0.0868f,-0.0544f,0.05f,-0.273f,-0.0655f,-0.134f}; +float backbone__model5_dp1_dw_weight[64*1*3*3] = 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+float backbone__model5_dp1_dw_bias[64] = {-0.145f,-0.0845f,-0.231f,-0.463f,0.238f,-0.994f,-0.37f,-0.256f,-0.000289f,-0.3f,0.133f,0.0933f,0.0708f,-0.0955f,-0.0888f,-1.06f,0.301f,0.031f,-0.23f,0.243f,-0.225f,-0.094f,0.312f,0.349f,-0.79f,-0.143f,0.263f,0.105f,0.401f,-0.0565f,0.029f,0.135f,0.0728f,-0.628f,-0.145f,0.0656f,-0.152f,0.313f,0.00731f,0.0481f,0.226f,-0.16f,-0.306f,0.0933f,-0.155f,0.284f,-0.0228f,0.105f,0.345f,-0.192f,0.161f,0.285f,0.174f,-0.274f,0.145f,-0.0374f,-0.0249f,-0.2f,-0.0655f,0.189f,-0.0511f,0.323f,-0.302f,-0.471f}; +float backbone__model5_dp2_pw_weight[64*64*1*1] = 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+float backbone__model5_dp2_pw_bias[64] = {-0.0858f,-0.0469f,0.0593f,-0.216f,0.0274f,-0.109f,0.00553f,0.0267f,0.12f,-0.0921f,-0.0451f,-0.0379f,-0.0933f,0.0762f,-0.0262f,-0.0296f,0.0318f,0.0915f,-0.00876f,-0.0406f,-0.0603f,0.041f,0.0415f,-0.0753f,-0.12f,-0.0999f,-0.0045f,0.117f,0.125f,0.041f,0.104f,-0.0129f,-0.00898f,0.125f,0.0792f,-0.00019f,0.0378f,0.11f,0.00864f,-0.00375f,0.0945f,0.0827f,0.00812f,-0.000703f,-0.0727f,0.0702f,-0.0165f,-0.0245f,0.121f,-0.016f,-0.0916f,0.0911f,-0.00738f,0.119f,-0.0984f,-0.12f,0.023f,-0.00299f,0.0881f,-0.0216f,0.102f,-0.125f,-0.0715f,0.153f}; +float backbone__model5_dp2_dw_weight[64*1*3*3] = 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+float backbone__model5_dp2_dw_bias[64] = {-0.169f,-0.27f,-0.0386f,0.548f,-0.0291f,0.168f,0.224f,0.0159f,-0.264f,-0.743f,0.00199f,-0.343f,0.0041f,-0.0198f,0.0471f,0.0933f,0.043f,0.198f,0.0204f,0.0837f,-0.0143f,-0.103f,0.242f,-0.227f,-0.38f,-0.257f,0.374f,0.105f,-0.331f,0.468f,0.273f,-0.0206f,0.468f,0.0839f,-0.262f,0.167f,0.188f,0.582f,-0.0481f,0.058f,-0.103f,-0.0857f,0.0776f,0.119f,0.491f,-0.0537f,0.441f,0.237f,0.0958f,-0.00706f,-0.0772f,0.336f,0.213f,0.188f,-0.016f,0.356f,0.245f,0.049f,0.208f,-0.0695f,-0.622f,0.193f,0.0327f,0.0371f}; +float neck__lateral_convs__0_pw_weight[64*64*1*1] = 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+float neck__lateral_convs__0_pw_bias[64] = {0.0736f,-0.0177f,0.0164f,-0.0535f,-0.0729f,0.0122f,-0.0804f,0.0817f,0.00686f,-0.0303f,0.0194f,-0.0509f,0.0151f,0.177f,-0.0465f,0.0148f,-0.0492f,-0.0969f,0.00622f,0.0889f,-0.0861f,-0.0183f,0.0335f,0.046f,0.148f,0.0391f,0.00969f,-0.0329f,0.0012f,0.0332f,-0.0102f,0.12f,-0.173f,-0.0656f,0.0226f,0.0592f,0.16f,-0.0818f,-0.0157f,-0.0143f,-0.0517f,-0.00359f,-0.00586f,0.0298f,0.0128f,-0.0162f,0.0936f,-0.0103f,-0.0116f,-0.0151f,0.0466f,0.22f,0.113f,0.0475f,-0.0468f,-0.0302f,-0.0979f,-0.0285f,0.0203f,0.148f,0.0766f,-0.0989f,0.0128f,-0.0467f}; +float neck__lateral_convs__0_dw_weight[64*1*3*3] = 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+float neck__lateral_convs__0_dw_bias[64] = {0.207f,0.683f,0.647f,0.292f,0.289f,-0.15f,0.922f,0.000689f,0.34f,0.803f,1.04f,0.307f,0.156f,0.0139f,0.717f,0.793f,0.744f,0.451f,-0.0962f,0.725f,1.1f,0.253f,0.527f,-0.326f,0.613f,0.11f,0.345f,0.0456f,0.637f,-1.19f,0.332f,0.0712f,1.04f,0.529f,0.73f,0.943f,1.42f,0.676f,-0.5f,-0.123f,-0.204f,-0.711f,0.361f,0.0568f,-0.263f,-1.06f,0.759f,0.554f,1.49f,-0.0811f,0.0507f,2.29f,0.597f,-0.0727f,0.331f,0.433f,0.0679f,-0.286f,0.624f,-0.336f,0.67f,0.924f,0.185f,-0.49f}; +float neck__lateral_convs__1_pw_weight[64*64*1*1] = 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+float neck__lateral_convs__1_pw_bias[64] = {-0.0297f,-0.0706f,-0.0337f,0.0276f,0.0273f,-0.00913f,0.14f,-0.0478f,-0.00486f,0.0403f,0.00589f,-0.0234f,-0.042f,-0.147f,0.106f,-0.0822f,0.0298f,-0.0362f,0.0386f,-0.0432f,-0.0725f,0.0243f,-0.0072f,-0.0194f,0.00856f,-0.109f,-0.0771f,0.129f,0.0196f,0.00348f,7.39e-05f,0.0472f,0.0623f,0.0781f,0.0134f,0.00279f,0.0361f,0.000638f,0.0684f,-0.0198f,0.0305f,0.0316f,0.0362f,-0.102f,0.168f,0.0215f,0.0204f,-0.046f,-0.0602f,0.0887f,-0.0902f,-0.122f,-0.0295f,-0.147f,0.173f,0.0412f,-0.0446f,0.139f,-0.0654f,-0.0168f,0.0233f,-0.181f,-0.0636f,0.0383f}; +float neck__lateral_convs__1_dw_weight[64*1*3*3] = 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+float neck__lateral_convs__1_dw_bias[64] = {0.958f,0.171f,-0.52f,0.44f,0.702f,-0.518f,0.0556f,0.353f,0.514f,-0.296f,0.338f,-0.558f,-0.267f,-0.13f,-0.408f,0.52f,-0.106f,-0.239f,-0.121f,0.988f,0.479f,0.466f,0.613f,0.109f,-0.152f,0.66f,0.0603f,-0.272f,0.838f,-0.401f,-1.75f,-0.349f,-0.445f,0.249f,1.41f,-0.575f,1.53f,0.843f,0.111f,0.748f,0.606f,-0.177f,0.317f,-0.606f,0.486f,-1.65f,0.113f,-0.231f,0.0535f,1.45f,0.315f,1.08f,0.518f,-1.03f,0.548f,0.543f,0.716f,0.736f,-0.815f,-0.327f,0.0758f,-0.0999f,-0.148f,-0.218f}; +float neck__lateral_convs__2_pw_weight[64*64*1*1] = 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+float neck__lateral_convs__2_pw_bias[64] = {-0.0574f,0.0164f,0.0236f,0.264f,0.106f,0.00578f,0.00725f,-0.149f,0.0783f,0.00496f,0.00653f,0.0262f,0.0783f,0.265f,0.0601f,0.0232f,0.118f,0.121f,0.0384f,0.0121f,0.00394f,-0.0187f,-0.042f,-0.0114f,0.213f,-0.0799f,0.0984f,0.0141f,-0.0116f,-0.162f,-0.117f,-0.0279f,0.0363f,-0.0179f,0.0409f,0.103f,0.0575f,-0.0132f,0.0302f,0.14f,0.0126f,0.00635f,-0.0922f,0.0847f,-0.104f,-0.0724f,0.212f,-0.169f,0.0516f,-0.0283f,-0.311f,-0.0584f,-0.0341f,-0.12f,0.179f,0.109f,-0.0316f,-0.0668f,0.0304f,0.036f,-0.27f,-0.0589f,0.0699f,0.094f}; +float neck__lateral_convs__2_dw_weight[64*1*3*3] = 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+float neck__lateral_convs__2_dw_bias[64] = {0.238f,0.364f,0.599f,1.8f,0.741f,0.734f,0.171f,1.77f,-0.123f,0.187f,-0.0739f,0.463f,1.05f,0.0615f,-0.227f,1.08f,-0.206f,0.165f,0.99f,0.735f,0.678f,0.179f,0.278f,0.558f,-0.285f,0.0331f,0.154f,-0.0699f,-0.23f,0.639f,0.338f,0.902f,0.648f,0.263f,-0.111f,-0.0888f,1.36f,0.326f,0.34f,0.324f,0.411f,0.293f,-0.288f,0.713f,0.377f,0.433f,-0.178f,1.26f,0.22f,0.826f,1.83f,0.529f,-0.228f,0.417f,0.114f,0.533f,0.775f,0.888f,1.06f,-0.182f,-0.389f,0.821f,0.943f,0.246f}; +float bbox_head__multi_level_cls__0_pw_weight[1*64*1*1] = {0.00105f,-0.0296f,0.0624f,-0.0184f,0.0296f,-0.0341f,-0.105f,-0.0511f,0.0871f,-0.157f,0.182f,-0.0475f,-0.0173f,-0.0101f,0.0171f,-0.185f,-0.274f,0.106f,0.114f,0.0174f,-0.0586f,-0.0155f,0.0659f,0.205f,0.0717f,0.0752f,0.133f,-0.0278f,0.218f,0.0809f,0.0694f,-0.0373f,0.0358f,-0.0724f,-0.0927f,0.0922f,0.00581f,0.0823f,0.158f,0.129f,0.0773f,0.0919f,-0.0088f,0.266f,-0.108f,0.107f,-0.00169f,-0.0107f,0.0825f,-0.0224f,-0.0201f,-0.197f,-0.00738f,-0.0104f,0.0546f,-0.0957f,0.0252f,-0.0503f,-0.0539f,-0.0794f,-0.00916f,-0.0143f,-0.0636f,0.0238f}; +float bbox_head__multi_level_cls__0_pw_bias[1] = {0.326f}; +float bbox_head__multi_level_cls__0_dw_weight[1*1*3*3] = {0.148f,0.272f,0.154f,0.295f,0.308f,0.256f,0.192f,0.31f,0.147f}; +float bbox_head__multi_level_cls__0_dw_bias[1] = {0.236f}; +float bbox_head__multi_level_cls__1_pw_weight[1*64*1*1] = {0.0381f,0.0417f,0.0601f,0.00415f,-0.0122f,-0.00986f,-0.00248f,0.00159f,-0.0601f,0.00147f,0.0264f,-0.0315f,0.000155f,-0.0219f,-0.0335f,0.00232f,0.00178f,-0.019f,-0.0929f,0.0114f,0.113f,0.0493f,-0.0847f,0.0143f,0.0119f,0.00246f,-0.0673f,0.013f,0.0361f,-0.0243f,0.0299f,0.00241f,0.000444f,0.024f,0.0223f,0.0285f,0.0108f,0.168f,0.0349f,0.116f,0.0313f,0.01f,-0.286f,-0.0163f,0.0176f,-0.0196f,-0.269f,-0.0674f,-0.153f,0.00216f,0.0236f,0.0611f,-0.012f,0.00622f,-0.18f,-0.0342f,-0.0514f,0.184f,-0.147f,0.01f,-0.000824f,0.0129f,-0.00944f,-0.00473f}; +float bbox_head__multi_level_cls__1_pw_bias[1] = {-0.0775f}; +float bbox_head__multi_level_cls__1_dw_weight[1*1*3*3] = {-0.0623f,-0.332f,-0.028f,-0.0787f,-0.498f,-0.0164f,0.00711f,-0.109f,-0.000642f}; +float bbox_head__multi_level_cls__1_dw_bias[1] = {0.0625f}; +float bbox_head__multi_level_cls__2_pw_weight[1*64*1*1] = {0.017f,-0.0933f,0.0192f,-0.00439f,-0.0224f,-0.0613f,-0.036f,0.352f,-0.0878f,0.0731f,-0.103f,-0.0972f,-0.0432f,0.0193f,-0.0875f,0.112f,-0.00198f,0.0255f,-0.00745f,-0.0672f,0.000509f,-0.0943f,-0.00139f,0.0803f,-0.132f,-0.00974f,-0.0179f,-0.0619f,-0.19f,-0.178f,-0.00342f,0.144f,-0.0248f,0.0772f,-0.171f,-0.0205f,-0.0237f,0.0853f,-0.0187f,-0.0989f,0.0249f,-0.0182f,-0.0434f,0.0778f,0.0278f,-0.0915f,-0.0826f,-0.00217f,-0.0124f,0.106f,0.000268f,0.168f,-0.0689f,0.19f,-0.0719f,0.0537f,-0.0567f,0.031f,0.0376f,-0.115f,-0.0731f,-0.0464f,0.0984f,0.0283f}; +float bbox_head__multi_level_cls__2_pw_bias[1] = {-0.287f}; +float bbox_head__multi_level_cls__2_dw_weight[1*1*3*3] = {-0.126f,-0.239f,-0.0973f,-0.239f,-0.416f,-0.265f,-0.139f,-0.378f,-0.155f}; +float bbox_head__multi_level_cls__2_dw_bias[1] = {0.254f}; +float bbox_head__multi_level_bbox__0_pw_weight[4*64*1*1] = {0.0604f,-0.00251f,0.00671f,0.00252f,0.0193f,0.112f,0.0493f,-0.0549f,0.0375f,0.208f,0.0694f,0.0879f,0.0245f,-0.145f,0.0561f,0.0256f,0.185f,-0.146f,-0.0467f,0.0119f,0.1f,0.0142f,-0.342f,-0.00435f,-0.247f,-0.0511f,0.067f,0.169f,-0.114f,-0.0187f,0.255f,-0.0389f,0.202f,0.247f,0.0846f,-0.00818f,-0.268f,0.131f,-0.049f,-0.0252f,-0.0282f,-0.0102f,0.051f,-0.0576f,0.059f,-0.0208f,0.148f,0.0517f,0.121f,0.0527f,-0.388f,0.00965f,0.0579f,0.206f,0.0617f,0.263f,0.0859f,0.0537f,-0.0115f,0.0085f,-0.109f,0.141f,0.0112f,0.0381f,0.111f,0.0261f,0.0123f,0.31f,0.243f,0.0155f,0.306f,-0.083f,0.105f,0.236f,-0.121f,0.0185f,0.0126f,-0.0659f,-0.0198f,0.231f,0.092f,-0.469f,0.0125f,0.0679f,0.0865f,0.0183f,0.135f,-0.00277f,-0.0243f,-0.0436f,0.0538f,0.0409f,0.159f,-0.103f,-0.077f,0.223f,0.105f,0.0501f,0.165f,0.22f,0.219f,-0.202f,-0.0134f,0.0385f,-0.188f,-0.0309f,0.0995f,-0.121f,0.0875f,0.0156f,0.0533f,0.056f,0.13f,0.0805f,-0.36f,-0.0102f,0.0374f,0.0258f,0.0554f,0.071f,0.0723f,-0.0512f,-0.0971f,-0.0402f,-0.0253f,0.0136f,0.514f,0.0195f,0.0266f,-0.147f,-0.109f,0.0478f,0.0497f,-0.0259f,-0.0232f,-0.0528f,-0.0148f,0.0714f,0.0564f,0.0183f,0.00959f,0.032f,-0.0615f,0.062f,0.0102f,-0.0605f,0.0219f,-0.0077f,-0.0516f,0.461f,-0.29f,-0.0264f,0.152f,0.0839f,0.00103f,-0.05f,0.035f,0.0103f,-0.143f,-0.00303f,-0.0123f,0.251f,-0.0935f,0.145f,-0.0544f,0.181f,0.0129f,0.0235f,-0.022f,0.0036f,0.0583f,0.0427f,0.0192f,0.00384f,-0.00307f,-0.0214f,-0.288f,-0.00307f,-0.0555f,0.47f,0.0181f,-0.0539f,0.0239f,0.0176f,0.0249f,-0.0744f,0.0446f,0.0185f,-0.12f,0.441f,-0.0294f,-0.00948f,0.00887f,-0.346f,-0.0441f,-0.0522f,0.125f,-0.00239f,0.039f,-0.0313f,-0.012f,0.261f,0.0638f,0.00488f,-0.0259f,-0.0496f,0.0107f,0.182f,0.0543f,-0.172f,-0.00551f,0.0434f,-0.034f,0.186f,-0.0478f,-0.0365f,0.0394f,0.309f,-0.0111f,0.00218f,-0.00773f,0.0161f,-0.0438f,-0.0249f,-0.0111f,0.0815f,-0.139f,0.203f,0.0176f,-0.0998f,0.0214f,-0.0263f,-0.0246f,0.0147f,0.00161f,0.0155f,0.0145f,0.0166f,-0.000148f,-0.0136f,-0.366f,-0.0128f,-0.0522f,0.548f,0.0323f,-0.0528f,-0.00893f,0.00623f,-0.0727f,0.177f,-0.0292f,-0.00439f,-0.107f,0.375f,-0.0854f,-0.000854f}; +float bbox_head__multi_level_bbox__0_pw_bias[4] = {-0.688f,-0.717f,-0.289f,-0.245f}; +float bbox_head__multi_level_bbox__0_dw_weight[4*1*3*3] = {0.213f,0.0619f,-0.0922f,-0.0547f,-0.103f,1.11f,-0.13f,-0.0934f,-0.122f,0.0618f,0.00831f,-0.0288f,1.04f,-0.0434f,-0.138f,-0.131f,-0.256f,-0.847f,-0.251f,-0.227f,-0.707f,-0.0362f,-0.112f,-0.137f,0.151f,-0.0616f,-0.029f,-0.0481f,-0.0659f,-0.364f,-0.211f,-0.197f,-0.0684f,-0.0783f,-0.0868f,-0.0762f}; +float bbox_head__multi_level_bbox__0_dw_bias[4] = {0.483f,0.501f,1.21f,1.46f}; +float bbox_head__multi_level_bbox__1_pw_weight[4*64*1*1] = {0.0206f,-0.0129f,-0.0415f,-0.0071f,0.0185f,-0.00535f,-0.0294f,-4.58e-05f,0.0115f,0.0394f,-0.00271f,-0.0432f,-0.00161f,-0.0292f,0.0635f,-0.00152f,0.00445f,-0.048f,0.0439f,-0.00592f,-0.0518f,0.054f,-0.239f,0.00601f,0.00077f,0.0435f,-0.0744f,0.0176f,0.077f,0.0026f,0.0166f,-0.0563f,0.0226f,-0.0175f,0.00636f,0.0967f,-0.0128f,-0.0691f,-0.02f,0.0477f,0.00674f,0.00247f,-0.0426f,0.0492f,0.00449f,-0.0509f,-0.0124f,0.0216f,-0.0141f,0.0282f,-0.0421f,-0.0172f,-0.0567f,0.0268f,-0.00212f,0.612f,0.0813f,-0.00108f,-0.0731f,-0.0264f,-0.000495f,0.00246f,0.00856f,-0.00998f,-0.0429f,0.00204f,-0.0105f,0.00999f,0.0298f,-0.0275f,0.0282f,-0.0226f,0.0487f,-0.00268f,0.0262f,0.018f,0.0127f,0.0166f,0.0112f,0.00389f,-0.00325f,0.0359f,0.0401f,-0.00664f,0.0159f,-0.000969f,-0.00406f,0.0174f,-0.00256f,0.000262f,-0.00728f,0.0212f,-0.166f,-0.0122f,-0.0413f,0.0254f,-0.00377f,-0.00179f,-0.356f,0.0127f,-0.00953f,-0.191f,-0.00847f,-0.181f,-0.0201f,-0.00546f,0.21f,-0.107f,0.00708f,0.00824f,0.0887f,0.0544f,0.0231f,-0.0117f,-0.0256f,0.0357f,-0.0365f,-0.0029f,-0.0322f,-0.0012f,-0.0409f,-0.0261f,0.0599f,-0.0269f,-0.00226f,-0.0026f,0.0181f,0.0426f,-0.00255f,0.00699f,0.0215f,-0.0258f,0.0697f,-0.00194f,-0.00756f,-0.0031f,-0.033f,0.0351f,-0.00206f,0.0567f,-0.00543f,-0.0562f,0.0195f,-0.013f,-0.0327f,-0.0235f,-0.0629f,-0.0238f,0.23f,0.0997f,0.0173f,-0.0122f,0.0391f,0.106f,-0.165f,-0.0211f,0.0741f,-0.0202f,-0.0734f,-0.0182f,0.000434f,-0.0633f,0.054f,0.0184f,-0.0152f,-0.0846f,0.0335f,0.0605f,0.0233f,0.00558f,-0.169f,-0.0589f,0.053f,0.0719f,0.0419f,-0.0235f,-0.0464f,-0.0165f,-0.0307f,0.328f,-0.0813f,0.0261f,0.0159f,0.0574f,-0.0783f,0.178f,-0.114f,-0.108f,0.000984f,0.00967f,-0.037f,-0.0166f,0.000958f,0.00621f,0.00424f,-0.00685f,-0.0051f,0.00874f,-0.0145f,0.000829f,-0.0429f,-0.0798f,-0.00538f,0.0453f,-0.0252f,-0.00331f,-0.0612f,-0.0185f,0.00917f,-0.0598f,-0.0888f,0.00707f,0.189f,0.0297f,0.0123f,-0.0366f,-0.0271f,-0.0388f,-0.267f,-0.00554f,0.06f,-0.0164f,0.166f,-0.0125f,0.00135f,-0.0176f,0.0415f,0.0183f,-0.00441f,-0.0746f,0.0274f,0.0105f,0.0141f,0.0224f,-0.178f,0.0174f,0.0175f,0.0776f,0.0205f,-0.0624f,-0.0511f,-0.00479f,0.0176f,0.33f,-0.0412f,-0.037f,0.0341f,0.0235f,-0.067f,0.165f,-0.0587f,-0.0909f,0.000605f,0.00339f,-0.0575f,-0.00802f}; +float bbox_head__multi_level_bbox__1_pw_bias[4] = {-0.152f,0.372f,-0.108f,-0.102f}; +float bbox_head__multi_level_bbox__1_dw_weight[4*1*3*3] = {-0.0306f,-0.00544f,-0.0455f,-0.0537f,0.0132f,-0.503f,-0.0847f,-0.0395f,-0.00504f,-0.00259f,-0.0308f,-0.0257f,0.213f,0.0167f,-0.0889f,-0.0935f,-0.549f,0.373f,-0.379f,-0.406f,-0.0348f,0.0231f,-0.0393f,-0.0688f,-0.0131f,-0.00308f,-0.00556f,-0.00203f,-0.022f,0.0894f,-0.176f,-0.132f,-0.01f,0.00824f,0.00628f,0.0129f}; +float bbox_head__multi_level_bbox__1_dw_bias[4] = {0.464f,0.486f,0.0237f,0.173f}; +float bbox_head__multi_level_bbox__2_pw_weight[4*64*1*1] = {0.0237f,0.29f,0.0681f,0.0161f,0.305f,0.526f,-0.0414f,-0.0345f,-0.00772f,-0.0807f,0.0136f,-0.00819f,0.119f,-0.0239f,-0.164f,-0.277f,-0.0242f,0.746f,-0.143f,-0.118f,-0.336f,-0.00553f,-0.564f,0.0357f,-0.174f,-0.0917f,0.188f,0.045f,0.0105f,0.0144f,-0.101f,0.0116f,-0.0543f,-0.0104f,0.0379f,-0.0149f,-0.0302f,0.074f,0.0634f,0.075f,0.0495f,0.0472f,0.017f,0.000869f,-0.0294f,-0.00646f,-0.283f,0.128f,-0.0852f,-0.0143f,-0.00608f,-0.00205f,0.028f,0.076f,-0.0302f,0.254f,-0.0412f,0.00669f,0.0735f,0.0175f,-0.00963f,-0.0183f,-0.00432f,-0.0106f,-0.0385f,-0.129f,-0.0431f,-0.00533f,-0.0229f,-0.0508f,0.0116f,-0.00142f,-0.00441f,0.0666f,0.00261f,0.0226f,-0.00824f,0.00753f,0.0863f,-0.00321f,0.284f,-0.084f,-0.00867f,-0.0187f,0.0221f,0.0531f,-0.143f,-0.0237f,0.0284f,-0.00332f,-0.0119f,0.0098f,-0.0064f,-0.15f,-0.00853f,0.0857f,0.311f,0.017f,-0.0152f,-0.0158f,-0.462f,-0.0503f,-0.00671f,-0.509f,-0.0309f,-0.0649f,-0.00419f,0.0378f,0.871f,0.404f,-0.242f,0.0156f,-0.0339f,-0.0767f,-0.166f,0.0386f,0.027f,0.0712f,0.102f,-6.89e-05f,0.104f,-0.0599f,0.269f,0.00273f,-0.264f,-0.00856f,-0.0866f,0.0458f,-0.0125f,0.26f,0.017f,-0.00787f,0.132f,-0.41f,-0.0141f,0.891f,-0.0268f,-0.0483f,-0.00428f,0.00384f,-0.00353f,-0.0081f,-0.0409f,0.207f,0.0438f,-0.276f,-0.0926f,0.0821f,-0.236f,0.00751f,-0.151f,-0.00137f,0.244f,-0.0579f,-0.101f,0.0143f,-0.00742f,-0.0425f,-0.0411f,-0.0889f,-0.0244f,0.0478f,0.0749f,-0.0501f,-0.0302f,0.00742f,-0.0445f,-0.0547f,-0.0992f,-0.0109f,-0.0138f,0.0313f,-0.0228f,0.0016f,-0.13f,0.267f,-0.00439f,-0.00619f,-0.000718f,-0.05f,0.00636f,-0.249f,-0.12f,0.273f,-0.0526f,-0.000354f,0.092f,-0.0351f,0.0389f,-0.0361f,0.0179f,0.00119f,-0.0301f,0.103f,0.00175f,0.0188f,0.00387f,0.0179f,0.0159f,-0.898f,-0.00415f,0.0715f,-0.00503f,-0.00782f,0.00609f,-0.0125f,0.0381f,-0.117f,-0.182f,0.0244f,0.00474f,-0.0156f,0.0224f,-0.134f,0.0731f,-0.00296f,0.0274f,0.00861f,0.0281f,0.00376f,0.00557f,-0.157f,0.0109f,-0.0608f,-0.00428f,0.0387f,-0.0219f,0.0762f,0.213f,-0.0134f,0.00707f,0.309f,0.0407f,0.048f,0.0256f,-0.00838f,0.376f,0.266f,0.123f,-0.113f,0.0291f,0.0733f,-0.0255f,0.0467f,-0.00672f,0.231f,0.0719f,0.0427f,0.103f,-0.0174f,-0.206f,-0.00398f,-0.143f,0.0651f,-0.0968f,-0.0312f}; +float bbox_head__multi_level_bbox__2_pw_bias[4] = {0.0512f,-0.115f,-0.0535f,0.0116f}; +float bbox_head__multi_level_bbox__2_dw_weight[4*1*3*3] = {0.0846f,-0.0655f,-0.0693f,0.0569f,0.183f,-0.252f,-0.102f,0.176f,0.0856f,-0.0347f,-0.0635f,0.0283f,0.182f,-0.252f,-0.141f,0.113f,0.526f,-0.553f,-0.294f,0.31f,0.195f,-0.307f,-0.185f,0.14f,0.0646f,-0.0606f,-0.0648f,0.0468f,0.388f,-0.345f,-0.183f,0.213f,0.0887f,-0.0248f,-0.0718f,0.033f}; +float bbox_head__multi_level_bbox__2_dw_bias[4] = {0.306f,0.267f,1.33f,1.5f}; +float bbox_head__multi_level_obj__0_pw_weight[1*64*1*1] = {-0.451f,-0.19f,-0.0746f,-0.186f,-0.00517f,-0.345f,-0.117f,-0.654f,-0.544f,-0.151f,-0.522f,-0.217f,-0.0214f,-0.571f,-0.0345f,-0.222f,-0.301f,0.482f,-0.646f,-0.597f,-0.617f,0.0679f,0.0766f,-0.613f,-0.0193f,0.301f,-0.624f,-0.462f,-0.47f,-1.08f,-0.00709f,-0.469f,-0.453f,-0.13f,-0.152f,0.0462f,0.224f,0.0302f,-0.789f,-0.531f,-0.351f,-1.09f,-0.423f,0.788f,-0.499f,-1.19f,-0.103f,-0.0973f,-0.102f,-0.563f,0.275f,0.0252f,-0.509f,-0.318f,-0.518f,-0.231f,-0.288f,-0.309f,0.0223f,-0.558f,0.00841f,-0.0168f,-0.305f,-0.648f}; +float bbox_head__multi_level_obj__0_pw_bias[1] = {0.928f}; +float bbox_head__multi_level_obj__0_dw_weight[1*1*3*3] = {-0.0188f,-0.0238f,-0.00136f,-0.17f,3.26f,-0.194f,-0.0487f,-0.174f,-0.0291f}; +float bbox_head__multi_level_obj__0_dw_bias[1] = {-1.91f}; +float bbox_head__multi_level_obj__1_pw_weight[1*64*1*1] = {-0.598f,-0.323f,-0.118f,-0.119f,-0.798f,-0.159f,-0.0257f,-0.0238f,0.135f,0.245f,-0.223f,-0.305f,-0.0216f,-0.166f,-0.0291f,-0.114f,-0.133f,-0.0214f,0.247f,-0.245f,0.104f,-0.238f,-0.0841f,-0.414f,0.135f,-0.0495f,-0.0528f,-0.0285f,-0.697f,-0.199f,-0.054f,-0.11f,-0.00832f,-0.438f,0.0799f,-0.165f,0.06f,-0.671f,-0.00565f,-0.696f,-0.959f,-0.0198f,0.464f,-0.325f,-0.356f,-0.0745f,0.312f,-0.254f,-0.349f,-0.0568f,-0.3f,0.153f,-0.317f,-0.106f,0.401f,-0.137f,-0.431f,-0.156f,0.118f,-0.0813f,0.00428f,-0.0452f,0.0171f,-0.24f}; +float bbox_head__multi_level_obj__1_pw_bias[1] = {0.000274f}; +float bbox_head__multi_level_obj__1_dw_weight[1*1*3*3] = {0.0675f,0.249f,0.0626f,0.025f,2.36f,0.0428f,0.0466f,0.136f,0.045f}; +float bbox_head__multi_level_obj__1_dw_bias[1] = {-0.147f}; +float bbox_head__multi_level_obj__2_pw_weight[1*64*1*1] = {-0.544f,0.0875f,0.00497f,-0.914f,-0.2f,0.0575f,-0.266f,0.217f,0.472f,-0.87f,-0.69f,-0.706f,-0.0663f,0.203f,-0.478f,-0.107f,-0.467f,0.0528f,0.0386f,-0.103f,-0.0785f,0.555f,-0.0327f,0.0819f,0.195f,0.263f,-0.37f,-1.f,0.879f,0.142f,-0.0547f,-0.2f,-0.158f,-0.56f,0.494f,-0.00014f,-0.133f,-0.199f,0.129f,0.183f,-0.239f,0.196f,0.0125f,-0.184f,0.0227f,0.396f,0.301f,0.0348f,0.0291f,-0.273f,-0.851f,-0.0115f,-0.992f,0.182f,0.349f,0.056f,0.0206f,-0.464f,-0.0662f,0.617f,-0.146f,-0.0261f,-0.331f,-0.616f}; +float bbox_head__multi_level_obj__2_pw_bias[1] = {0.183f}; +float bbox_head__multi_level_obj__2_dw_weight[1*1*3*3] = {0.565f,0.242f,0.297f,-0.0272f,2.67f,-0.0276f,0.175f,0.435f,0.378f}; +float bbox_head__multi_level_obj__2_dw_bias[1] = {-0.119f}; +float bbox_head__multi_level_kps__0_pw_weight[10*64*1*1] = 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+float bbox_head__multi_level_kps__0_pw_bias[10] = {0.372f,0.081f,0.116f,0.0954f,0.262f,0.39f,0.321f,-0.125f,-0.316f,0.589f}; +float bbox_head__multi_level_kps__0_dw_weight[10*1*3*3] = {-0.722f,-0.0849f,-0.549f,-0.12f,-0.57f,0.021f,-0.368f,-0.513f,0.343f,-0.0392f,0.045f,-0.344f,0.049f,-0.371f,0.0268f,-0.286f,0.0517f,-0.719f,-0.0542f,-0.145f,0.222f,-0.131f,0.389f,-0.157f,0.281f,-0.042f,0.127f,-0.344f,-0.235f,-0.0826f,-0.703f,0.392f,-0.617f,0.138f,-0.689f,0.264f,-0.718f,-0.133f,0.613f,0.265f,0.0267f,0.549f,-0.0355f,0.558f,0.0395f,0.675f,0.0901f,-0.405f,-0.0685f,0.774f,0.418f,0.0964f,0.553f,0.325f,0.502f,0.228f,0.447f,-0.1f,-0.55f,0.365f,-0.402f,0.34f,-0.416f,0.0912f,-0.548f,0.251f,-0.668f,0.0625f,0.596f,0.207f,0.101f,0.447f,-0.0363f,0.441f,0.0263f,0.498f,0.0786f,0.289f,-0.123f,0.443f,0.252f,0.115f,0.26f,0.377f,0.369f,0.251f,0.44f,0.11f,-0.571f,0.344f}; +float bbox_head__multi_level_kps__0_dw_bias[10] = {-0.124f,0.0521f,0.881f,0.0629f,0.359f,0.27f,0.0297f,0.42f,0.805f,0.421f}; +float bbox_head__multi_level_kps__1_pw_weight[10*64*1*1] = 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+float bbox_head__multi_level_kps__1_pw_bias[10] = {0.0101f,-0.0198f,0.106f,-0.0193f,-0.0776f,0.0535f,-0.0602f,-0.0832f,0.0987f,0.0806f}; +float bbox_head__multi_level_kps__1_dw_weight[10*1*3*3] = {0.0726f,-0.0574f,0.103f,-0.0583f,-0.116f,0.0586f,-0.0924f,-0.0645f,0.0978f,0.0644f,-0.0133f,-0.425f,0.0601f,-0.428f,-0.0579f,0.435f,-0.0269f,-0.469f,0.0577f,0.479f,0.00191f,-0.0506f,0.0781f,-0.0493f,-0.06f,0.052f,-0.0363f,-0.0579f,0.0728f,0.0577f,0.335f,-0.0102f,0.391f,-0.0122f,-0.412f,0.0261f,-0.362f,-0.046f,0.382f,0.046f,-0.277f,0.259f,-0.171f,0.257f,0.137f,-0.24f,0.215f,0.197f,-0.181f,-0.19f,0.00185f,-0.0108f,0.0972f,-0.00815f,-0.0855f,0.0223f,-0.0417f,-0.0396f,0.0899f,0.0371f,0.102f,-0.0258f,0.119f,-0.025f,-0.137f,0.043f,-0.124f,-0.0646f,0.121f,0.0632f,-0.0429f,0.00451f,0.038f,0.00439f,-0.0131f,0.0422f,0.00898f,-0.0959f,0.0284f,0.0846f,0.00673f,-0.0176f,0.0896f,-0.0186f,-0.0621f,0.043f,-0.038f,-0.0686f,0.0861f,0.0684f}; +float bbox_head__multi_level_kps__1_dw_bias[10] = {0.238f,0.128f,0.273f,0.126f,0.189f,0.222f,0.186f,0.242f,0.265f,0.238f}; +float bbox_head__multi_level_kps__2_pw_weight[10*64*1*1] = {0.0246f,-0.166f,0.367f,0.0507f,0.0997f,-0.129f,-0.281f,0.0756f,0.0285f,0.0326f,-0.0126f,0.00261f,0.224f,-0.0455f,-0.0216f,-0.0419f,0.0216f,-0.0357f,-0.352f,-0.0704f,-0.015f,0.0217f,-0.314f,0.0289f,-0.0503f,0.128f,0.011f,0.0534f,-0.0145f,0.0121f,-0.294f,-0.0106f,-0.0708f,-0.00322f,-0.024f,-0.201f,-0.0899f,0.139f,0.167f,-0.0255f,-0.0697f,0.0593f,-0.464f,0.0901f,-0.0407f,-0.00249f,-0.157f,0.0277f,0.277f,0.0153f,0.0113f,0.111f,0.025f,0.134f,-0.259f,0.174f,-0.074f,0.024f,0.0833f,-0.0157f,0.00538f,-0.0774f,0.0259f,-0.0101f,-0.0464f,0.00547f,-0.121f,-0.00674f,0.000503f,-0.000189f,0.093f,-0.104f,0.0324f,-0.00335f,0.0291f,-0.00341f,-0.0168f,-0.0235f,0.0633f,-0.0622f,0.0766f,0.0258f,-0.221f,0.0137f,0.00555f,-0.027f,0.101f,-0.0667f,-0.0215f,-0.0449f,-0.0209f,-0.0275f,0.0619f,0.174f,0.0853f,0.0515f,-0.101f,0.0279f,-0.108f,0.714f,-0.0135f,-0.0227f,0.113f,-0.0116f,0.264f,-0.21f,-0.0507f,0.148f,0.0573f,0.0355f,0.0109f,-0.0253f,0.106f,-0.304f,0.0361f,-0.0174f,0.0119f,-0.0857f,-0.0441f,-0.0205f,0.624f,-0.039f,0.0771f,0.00598f,-0.207f,-0.0459f,-0.11f,0.0506f,0.0782f,0.0477f,-0.183f,0.0408f,-0.0348f,-0.117f,0.233f,0.0956f,0.00339f,0.0735f,-0.0187f,-0.0413f,-0.319f,-0.0249f,0.00231f,0.219f,0.0445f,-0.147f,0.166f,0.00277f,-0.00963f,-0.0605f,-0.0962f,0.305f,0.0698f,0.00493f,-0.406f,0.0129f,-0.0152f,-0.0357f,0.142f,0.0235f,-0.2f,0.00634f,-0.00182f,-0.23f,-0.162f,-0.0454f,-0.174f,-0.0697f,-0.132f,-0.0561f,0.472f,0.0658f,-0.0494f,-0.0152f,-0.0947f,-0.101f,-0.133f,0.118f,-0.0284f,0.109f,0.0131f,0.295f,-0.371f,-0.0126f,-0.122f,0.0121f,0.02f,-0.062f,0.0188f,-0.106f,-0.0131f,0.0182f,0.0366f,-0.0843f,0.126f,0.0191f,0.0258f,-0.0629f,-0.0613f,0.0849f,0.0159f,-0.0126f,-0.0392f,0.00939f,0.0236f,0.0191f,-0.0459f,0.0335f,-0.0582f,-0.00949f,-0.0836f,-0.0189f,-0.0204f,0.0398f,-0.0516f,0.00618f,0.0192f,-0.0684f,-0.0709f,0.0235f,-0.0762f,-0.15f,0.116f,-0.0193f,0.105f,0.00144f,0.0692f,-0.724f,-0.00212f,0.0619f,0.193f,-0.00127f,-0.216f,0.251f,-0.0142f,-0.17f,-0.0693f,-0.0204f,0.0614f,-0.0025f,-0.105f,0.251f,-0.0279f,0.0899f,-0.0176f,-0.000903f,0.0897f,0.0123f,-0.618f,0.0566f,-0.135f,-0.0233f,0.209f,-0.0578f,0.0962f,-0.0442f,-0.0514f,0.265f,0.4f,-0.0166f,-0.0704f,-0.105f,-0.424f,0.0196f,-0.0353f,0.0192f,0.0429f,0.0483f,0.414f,0.0143f,-0.0213f,-0.0144f,-0.0273f,-0.0958f,-0.139f,-0.132f,0.144f,0.0435f,0.0835f,-0.209f,-0.0224f,0.259f,0.203f,0.0297f,-0.00303f,0.00137f,-0.434f,-0.00981f,0.0541f,-0.0624f,-0.0213f,0.0237f,0.0189f,0.114f,0.0286f,-0.0502f,-0.0297f,0.0129f,-0.587f,0.0131f,0.00408f,-0.0123f,0.00054f,0.0585f,0.398f,-0.0385f,0.0011f,-0.0743f,-0.00461f,-0.0602f,0.0908f,-0.0098f,-0.0033f,0.0034f,0.0517f,0.0611f,0.0183f,0.0561f,0.0028f,-0.0214f,0.0182f,-0.0746f,-0.237f,-0.0467f,-0.0277f,-0.0207f,0.218f,0.0323f,0.0282f,-0.0294f,0.0312f,-0.000178f,-0.0547f,-0.0514f,0.0063f,0.0456f,0.00824f,0.0331f,-0.159f,-0.0397f,0.0673f,-0.0209f,-0.0666f,-0.13f,-0.00144f,0.065f,-0.135f,-0.0121f,-0.00802f,0.0962f,-0.0327f,0.0416f,-0.307f,-0.0754f,-0.0619f,0.379f,-0.21f,-0.0742f,-0.108f,0.00802f,0.335f,-0.0699f,-0.132f,0.3f,-0.129f,-0.00219f,-0.198f,-0.00238f,0.177f,-0.345f,-0.0212f,-0.041f,0.0498f,0.0264f,-0.444f,-0.00356f,0.313f,-0.0202f,0.32f,-0.0287f,-0.207f,0.0221f,-0.0152f,0.0767f,-0.0251f,0.229f,-0.273f,-0.00531f,-0.074f,-0.00832f,0.327f,-0.0681f,0.0531f,-0.0332f,-0.00992f,0.0225f,-0.297f,0.0131f,0.0887f,0.0535f,-0.0015f,0.0684f,-0.0378f,0.0451f,0.0164f,0.0213f,0.347f,-0.126f,0.0106f,-0.26f,-0.134f,-0.0536f,0.0127f,0.0162f,0.484f,-0.015f,0.0581f,0.0194f,0.00611f,0.118f,0.0344f,-0.0507f,0.19f,0.0166f,0.152f,0.00151f,0.45f,-0.0787f,0.0355f,0.0198f,0.275f,-0.0464f,-0.315f,-0.114f,0.00362f,0.115f,-0.0195f,-0.22f,0.246f,-0.0769f,0.0264f,-0.00472f,-0.105f,-0.00511f,-0.018f,0.0535f,-0.0228f,0.026f,0.06f,-0.08f,-0.118f,-0.00389f,0.00658f,-0.136f,0.118f,0.145f,0.0364f,-0.00122f,0.0336f,0.0178f,-0.062f,-0.013f,0.0771f,0.0503f,0.132f,-0.0469f,-0.16f,-0.0912f,-0.0105f,0.0034f,-0.0311f,-0.102f,-0.0174f,-0.157f,-0.0722f,-0.0299f,0.0022f,0.0623f,0.00293f,0.0838f,-0.363f,0.00583f,-0.0751f,0.0929f,-0.522f,-0.00443f,0.106f,-0.32f,0.235f,0.114f,-0.167f,0.127f,-0.082f,0.00877f,-0.116f,-0.00325f,0.021f,-0.188f,0.0357f,0.0523f,0.0309f,0.0167f,-0.568f,-0.0152f,0.0764f,0.0387f,0.319f,0.00264f,-0.167f,0.101f,-0.0303f,0.0488f,-0.000983f,-0.00387f,0.131f,-0.053f,0.0403f,0.0862f,-0.193f,-0.0465f,-0.0266f,-0.0751f,0.0359f,0.0317f,0.334f,0.03f,-0.0438f,-0.18f,-0.0922f,0.14f,0.155f,-0.0205f,-0.0155f,0.0272f,0.0901f,-0.128f,-0.0218f,-0.0137f,0.486f,-0.00721f,0.00615f,0.0225f,-0.474f,-0.0363f,0.18f,-0.0306f,0.0188f,0.199f,0.164f,0.0277f,-0.182f,0.0963f,0.0202f,0.0179f,-0.423f,-0.0401f,0.0434f,0.0188f,0.0492f,0.11f,0.218f,-0.0177f,-0.0137f,-0.265f,0.00437f,-0.112f,0.304f,-0.00811f,0.0428f,-0.00955f,0.0573f,0.11f,-0.0259f,0.312f,0.0369f,-0.0106f,0.0669f,0.00803f,-0.124f,-0.0218f,-0.0129f,-0.0864f,0.108f,0.162f,-0.00229f,-0.0103f,0.043f,0.00649f,-0.065f,-0.00584f,0.0524f,0.0675f,0.116f,-0.0512f,0.0852f,-0.0988f,-0.0132f,-0.00964f,-0.0564f,-0.0504f,-0.00666f,-0.0552f,-0.00963f,-0.0222f,0.00737f,0.0379f,-0.162f,0.0691f,-0.364f,-0.0101f,-0.0544f,0.105f,-0.508f,-0.0466f,-0.172f,-0.304f,0.172f,0.0719f,-0.13f,0.14f,-0.079f,-0.0033f,-0.189f,0.0105f,0.0103f,-0.139f,0.0278f,-0.0099f,0.0309f,0.1f,-0.586f,-0.00386f,0.0671f,0.0312f,0.363f,0.0233f,-0.161f,0.197f,-0.0248f,0.0433f}; +float bbox_head__multi_level_kps__2_pw_bias[10] = {-0.127f,0.119f,-0.305f,-0.0945f,0.105f,-0.126f,0.0373f,-0.382f,0.25f,-0.386f}; +float bbox_head__multi_level_kps__2_dw_weight[10*1*3*3] = {0.3f,-0.306f,-0.069f,0.18f,0.191f,-0.171f,-0.187f,-0.113f,0.0575f,-0.069f,0.333f,-0.261f,-0.334f,0.255f,0.254f,-0.338f,-0.249f,-0.34f,0.202f,-0.338f,0.148f,-0.142f,-0.28f,0.27f,0.217f,-0.0885f,-0.127f,0.00967f,0.186f,-0.0364f,0.283f,-0.448f,-0.299f,0.344f,0.327f,-0.386f,-0.312f,-0.348f,0.278f,-0.312f,0.584f,-0.584f,-0.662f,0.573f,0.604f,-0.597f,-0.559f,-0.664f,0.583f,-0.665f,0.294f,-0.388f,-0.399f,0.491f,0.355f,-0.463f,-0.314f,-0.419f,0.419f,-0.465f,0.246f,-0.321f,-0.223f,0.245f,0.3f,-0.346f,-0.345f,-0.412f,0.26f,-0.366f,0.553f,-0.486f,-0.567f,0.474f,0.694f,-0.447f,-0.69f,-0.529f,0.693f,-0.533f,0.213f,-0.227f,-0.249f,0.306f,0.333f,-0.3f,-0.299f,-0.279f,0.398f,-0.32f}; +float bbox_head__multi_level_kps__2_dw_bias[10] = {-0.0976f,-0.0443f,0.232f,-0.0505f,0.0628f,0.16f,-0.0595f,0.316f,0.169f,0.319f}; + +//(in_channels, out_channels, is_depthwise, is_pointwise, with_bn, weight_ptr, bias_ptr) +ConvInfoStruct param_pConvInfo[53] = { + {32, 16, false, true, true, backbone__model0_pw_weight, backbone__model0_pw_bias}, + {16, 16, false, true, false, backbone__model0_dp_pw_weight, backbone__model0_dp_pw_bias}, + {16, 16, true, false, true, backbone__model0_dp_dw_weight, backbone__model0_dp_dw_bias}, + {16, 16, false, true, false, backbone__model1_dp1_pw_weight, backbone__model1_dp1_pw_bias}, + {16, 16, true, false, true, backbone__model1_dp1_dw_weight, backbone__model1_dp1_dw_bias}, + {16, 32, false, true, false, backbone__model1_dp2_pw_weight, backbone__model1_dp2_pw_bias}, + {32, 32, true, false, true, backbone__model1_dp2_dw_weight, backbone__model1_dp2_dw_bias}, + {32, 32, false, true, false, backbone__model2_dp1_pw_weight, backbone__model2_dp1_pw_bias}, + {32, 32, true, false, true, backbone__model2_dp1_dw_weight, backbone__model2_dp1_dw_bias}, + {32, 64, false, true, false, backbone__model2_dp2_pw_weight, backbone__model2_dp2_pw_bias}, + {64, 64, true, false, true, backbone__model2_dp2_dw_weight, backbone__model2_dp2_dw_bias}, + {64, 64, false, true, false, backbone__model3_dp1_pw_weight, backbone__model3_dp1_pw_bias}, + {64, 64, true, false, true, backbone__model3_dp1_dw_weight, backbone__model3_dp1_dw_bias}, + {64, 64, false, true, false, backbone__model3_dp2_pw_weight, backbone__model3_dp2_pw_bias}, + {64, 64, true, false, true, backbone__model3_dp2_dw_weight, backbone__model3_dp2_dw_bias}, + {64, 64, false, true, false, backbone__model4_dp1_pw_weight, backbone__model4_dp1_pw_bias}, + {64, 64, true, false, true, backbone__model4_dp1_dw_weight, backbone__model4_dp1_dw_bias}, + {64, 64, false, true, false, backbone__model4_dp2_pw_weight, backbone__model4_dp2_pw_bias}, + {64, 64, true, false, true, backbone__model4_dp2_dw_weight, backbone__model4_dp2_dw_bias}, + {64, 64, false, true, false, backbone__model5_dp1_pw_weight, backbone__model5_dp1_pw_bias}, + {64, 64, true, false, true, backbone__model5_dp1_dw_weight, backbone__model5_dp1_dw_bias}, + {64, 64, false, true, false, backbone__model5_dp2_pw_weight, backbone__model5_dp2_pw_bias}, + {64, 64, true, false, true, backbone__model5_dp2_dw_weight, backbone__model5_dp2_dw_bias}, + {64, 64, false, true, false, neck__lateral_convs__0_pw_weight, neck__lateral_convs__0_pw_bias}, + {64, 64, true, false, true, neck__lateral_convs__0_dw_weight, neck__lateral_convs__0_dw_bias}, + {64, 64, false, true, false, neck__lateral_convs__1_pw_weight, neck__lateral_convs__1_pw_bias}, + {64, 64, true, false, true, neck__lateral_convs__1_dw_weight, neck__lateral_convs__1_dw_bias}, + {64, 64, false, true, false, neck__lateral_convs__2_pw_weight, neck__lateral_convs__2_pw_bias}, + {64, 64, true, false, true, neck__lateral_convs__2_dw_weight, neck__lateral_convs__2_dw_bias}, + {64, 1, false, true, false, bbox_head__multi_level_cls__0_pw_weight, bbox_head__multi_level_cls__0_pw_bias}, + {1, 1, true, false, false, bbox_head__multi_level_cls__0_dw_weight, bbox_head__multi_level_cls__0_dw_bias}, + {64, 1, false, true, false, bbox_head__multi_level_cls__1_pw_weight, bbox_head__multi_level_cls__1_pw_bias}, + {1, 1, true, false, false, bbox_head__multi_level_cls__1_dw_weight, bbox_head__multi_level_cls__1_dw_bias}, + {64, 1, false, true, false, bbox_head__multi_level_cls__2_pw_weight, bbox_head__multi_level_cls__2_pw_bias}, + {1, 1, true, false, false, bbox_head__multi_level_cls__2_dw_weight, bbox_head__multi_level_cls__2_dw_bias}, + {64, 4, false, true, false, bbox_head__multi_level_bbox__0_pw_weight, bbox_head__multi_level_bbox__0_pw_bias}, + {4, 4, true, false, false, bbox_head__multi_level_bbox__0_dw_weight, bbox_head__multi_level_bbox__0_dw_bias}, + {64, 4, false, true, false, bbox_head__multi_level_bbox__1_pw_weight, bbox_head__multi_level_bbox__1_pw_bias}, + {4, 4, true, false, false, bbox_head__multi_level_bbox__1_dw_weight, bbox_head__multi_level_bbox__1_dw_bias}, + {64, 4, false, true, false, bbox_head__multi_level_bbox__2_pw_weight, bbox_head__multi_level_bbox__2_pw_bias}, + {4, 4, true, false, false, bbox_head__multi_level_bbox__2_dw_weight, bbox_head__multi_level_bbox__2_dw_bias}, + {64, 1, false, true, false, bbox_head__multi_level_obj__0_pw_weight, bbox_head__multi_level_obj__0_pw_bias}, + {1, 1, true, false, false, bbox_head__multi_level_obj__0_dw_weight, bbox_head__multi_level_obj__0_dw_bias}, + {64, 1, false, true, false, bbox_head__multi_level_obj__1_pw_weight, bbox_head__multi_level_obj__1_pw_bias}, + {1, 1, true, false, false, bbox_head__multi_level_obj__1_dw_weight, bbox_head__multi_level_obj__1_dw_bias}, + {64, 1, false, true, false, bbox_head__multi_level_obj__2_pw_weight, bbox_head__multi_level_obj__2_pw_bias}, + {1, 1, true, false, false, bbox_head__multi_level_obj__2_dw_weight, bbox_head__multi_level_obj__2_dw_bias}, + {64, 10, false, true, false, bbox_head__multi_level_kps__0_pw_weight, bbox_head__multi_level_kps__0_pw_bias}, + {10, 10, true, false, false, bbox_head__multi_level_kps__0_dw_weight, bbox_head__multi_level_kps__0_dw_bias}, + {64, 10, false, true, false, bbox_head__multi_level_kps__1_pw_weight, bbox_head__multi_level_kps__1_pw_bias}, + {10, 10, true, false, false, bbox_head__multi_level_kps__1_dw_weight, bbox_head__multi_level_kps__1_dw_bias}, + {64, 10, false, true, false, bbox_head__multi_level_kps__2_pw_weight, bbox_head__multi_level_kps__2_pw_bias}, + {10, 10, true, false, false, bbox_head__multi_level_kps__2_dw_weight, bbox_head__multi_level_kps__2_dw_bias} +}; \ No newline at end of file diff --git a/libfacedetection/src/facedetectcnn-model.cpp b/libfacedetection/src/facedetectcnn-model.cpp new file mode 100644 index 0000000..1893e0a --- /dev/null +++ b/libfacedetection/src/facedetectcnn-model.cpp @@ -0,0 +1,243 @@ +/* +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 libfacedetection + (3-clause BSD License) + +Copyright (c) 2018-2021, Shiqi Yu, all rights reserved. +shiqi.yu@gmail.com + +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 "facedetectcnn.h" + + +#if 0 +#include +cv::TickMeter cvtm; +#define TIME_START cvtm.reset();cvtm.start(); +#define TIME_END(FUNCNAME) cvtm.stop(); printf(FUNCNAME);printf("=%g\n", cvtm.getTimeMilli()); +#else +#define TIME_START +#define TIME_END(FUNCNAME) +#endif + + +#define NUM_CONV_LAYER 53 + +extern ConvInfoStruct param_pConvInfo[NUM_CONV_LAYER]; +Filters g_pFilters[NUM_CONV_LAYER]; + +bool param_initialized = false; + +void init_parameters() +{ + for(int i = 0; i < NUM_CONV_LAYER; i++) + g_pFilters[i] = param_pConvInfo[i]; +} + +std::vector objectdetect_cnn(unsigned char * rgbImageData, int width, int height, int step) +{ + + TIME_START; + if (!param_initialized) + { + init_parameters(); + param_initialized = true; + } + TIME_END("init"); + + + TIME_START; + auto fx = setDataFrom3x3S2P1to1x1S1P0FromImage(rgbImageData, width, height, 3, step); + TIME_END("convert data"); + + /***************CONV0*********************/ + TIME_START; + fx = convolution(fx, g_pFilters[0]); + TIME_END("conv_head"); + + TIME_START; + fx = convolutionDP(fx, g_pFilters[1], g_pFilters[2]); + TIME_END("conv0"); + + TIME_START; + fx = maxpooling2x2S2(fx); + TIME_END("pool0"); + + /***************CONV1*********************/ + TIME_START; + fx = convolution4layerUnit(fx, g_pFilters[3], g_pFilters[4], g_pFilters[5], g_pFilters[6]); + TIME_END("conv1"); + + /***************CONV2*********************/ + TIME_START; + fx = convolution4layerUnit(fx, g_pFilters[7], g_pFilters[8], g_pFilters[9], g_pFilters[10]); + TIME_END("conv2"); + + /***************CONV3*********************/ + TIME_START; + fx = maxpooling2x2S2(fx); + TIME_END("pool3"); + + TIME_START; + auto fb1 = convolution4layerUnit(fx, g_pFilters[11], g_pFilters[12], g_pFilters[13], g_pFilters[14]); + TIME_END("conv3"); + + /***************CONV4*********************/ + TIME_START; + fx = maxpooling2x2S2(fb1); + TIME_END("pool4"); + + TIME_START; + auto fb2 = convolution4layerUnit(fx, g_pFilters[15], g_pFilters[16], g_pFilters[17], g_pFilters[18]); + TIME_END("conv4"); + + /***************CONV5*********************/ + TIME_START; + fx = maxpooling2x2S2(fb2); + TIME_END("pool5"); + + TIME_START; + auto fb3 = convolution4layerUnit(fx, g_pFilters[19], g_pFilters[20], g_pFilters[21], g_pFilters[22]); + TIME_END("conv5"); + + CDataBlob pred_reg[3], pred_cls[3], pred_kps[3], pred_obj[3]; + /***************branch5*********************/ + TIME_START; + fb3 = convolutionDP(fb3, g_pFilters[27], g_pFilters[28]); + pred_cls[2] = convolutionDP(fb3, g_pFilters[33], g_pFilters[34], false); + pred_reg[2] = convolutionDP(fb3, g_pFilters[39], g_pFilters[40], false); + pred_kps[2] = convolutionDP(fb3, g_pFilters[51], g_pFilters[52], false); + pred_obj[2] = convolutionDP(fb3, g_pFilters[45], g_pFilters[46], false); + TIME_END("branch5"); + + /*****************add5*********************/ + TIME_START; + fb2 = elementAdd(upsampleX2(fb3), fb2); + TIME_END("add5"); + + /*****************add6*********************/ + TIME_START; + fb2 = convolutionDP(fb2, g_pFilters[25], g_pFilters[26]); + pred_cls[1] = convolutionDP(fb2, g_pFilters[31], g_pFilters[32], false); + pred_reg[1] = convolutionDP(fb2, g_pFilters[37], g_pFilters[38], false); + pred_kps[1] = convolutionDP(fb2, g_pFilters[49], g_pFilters[50], false); + pred_obj[1] = convolutionDP(fb2, g_pFilters[43], g_pFilters[44], false); + TIME_END("branch4"); + + /*****************add4*********************/ + TIME_START; + fb1 = elementAdd(upsampleX2(fb2), fb1); + TIME_END("add4"); + + /***************branch3*********************/ + TIME_START; + fb1 = convolutionDP(fb1, g_pFilters[23], g_pFilters[24]); + pred_cls[0] = convolutionDP(fb1, g_pFilters[29], g_pFilters[30], false); + pred_reg[0] = convolutionDP(fb1, g_pFilters[35], g_pFilters[36], false); + pred_kps[0] = convolutionDP(fb1, g_pFilters[47], g_pFilters[48], false); + pred_obj[0] = convolutionDP(fb1, g_pFilters[41], g_pFilters[42], false); + TIME_END("branch3"); + + /***************PRIORBOX*********************/ + TIME_START; + auto prior3 = meshgrid(fb1.cols, fb1.rows, 8); + auto prior4 = meshgrid(fb2.cols, fb2.rows, 16); + auto prior5 = meshgrid(fb3.cols, fb3.rows, 32); + TIME_END("prior"); + /***************PRIORBOX*********************/ + + TIME_START; + bbox_decode(pred_reg[0], prior3, 8); + bbox_decode(pred_reg[1], prior4, 16); + bbox_decode(pred_reg[2], prior5, 32); + + kps_decode(pred_kps[0], prior3, 8); + kps_decode(pred_kps[1], prior4, 16); + kps_decode(pred_kps[2], prior5, 32); + + auto cls = concat3(blob2vector(pred_cls[0]), blob2vector(pred_cls[1]), blob2vector(pred_cls[2])); + auto reg = concat3(blob2vector(pred_reg[0]), blob2vector(pred_reg[1]), blob2vector(pred_reg[2])); + auto kps = concat3(blob2vector(pred_kps[0]), blob2vector(pred_kps[1]), blob2vector(pred_kps[2])); + auto obj = concat3(blob2vector(pred_obj[0]), blob2vector(pred_obj[1]), blob2vector(pred_obj[2])); + + sigmoid(cls); + sigmoid(obj); + TIME_END("decode") + + TIME_START; + std::vector facesInfo = detection_output(cls, reg, kps, obj, 0.45f, 0.2f, 1000, 512); + TIME_END("detection output") + return facesInfo; +} + +int* facedetect_cnn(unsigned char * result_buffer, //buffer memory for storing face detection results, !!its size must be FACEDETECTION_RESULT_BUFFER_SIZE Bytes!! + unsigned char * rgb_image_data, int width, int height, int step) //input image, it must be BGR (three-channel) image! +{ + + if (!result_buffer) + { + fprintf(stderr, "%s: null buffer memory.\n", __FUNCTION__); + return NULL; + } + //clear memory + result_buffer[0] = 0; + result_buffer[1] = 0; + result_buffer[2] = 0; + result_buffer[3] = 0; + + std::vector faces = objectdetect_cnn(rgb_image_data, width, height, step); + + int num_faces =(int)faces.size(); + num_faces = MIN(num_faces, FACEDETECTION_RESULT_MAX_FACES); + + int * pCount = (int *)result_buffer; + pCount[0] = num_faces; + + for (int i = 0; i < num_faces; i++) + { + //copy data + short * p = ((short*)(result_buffer + 4)) + FACEDETECTION_RESULT_STRIDE_SHORTS * size_t(i); + p[0] = (short)(faces[i].score * 100); + p[1] = (short)faces[i].x; + p[2] = (short)faces[i].y; + p[3] = (short)faces[i].w; + p[4] = (short)faces[i].h; + //copy landmarks + for (int lmidx = 0; lmidx < 10; lmidx++) + { + p[5 + lmidx] = (short)faces[i].lm[lmidx]; + } + } + + return pCount; +} diff --git a/libfacedetection/src/facedetectcnn.cpp b/libfacedetection/src/facedetectcnn.cpp new file mode 100644 index 0000000..c9cfc78 --- /dev/null +++ b/libfacedetection/src/facedetectcnn.cpp @@ -0,0 +1,882 @@ +/* +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 libfacedetection + (3-clause BSD License) + +Copyright (c) 2018-2021, Shiqi Yu, all rights reserved. +shiqi.yu@gmail.com + +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 "facedetectcnn.h" +#include +#include //for FLT_EPSION +#include //for stable_sort, sort + +typedef struct NormalizedBBox_ +{ + float xmin; + float ymin; + float xmax; + float ymax; + float lm[10]; +} NormalizedBBox; + + +void* myAlloc(size_t size) +{ + char *ptr, *ptr0; + ptr0 = (char*)malloc( + (size_t)(size + _MALLOC_ALIGN * ((size >= 4096) + 1L) + sizeof(char*))); + + if (!ptr0) + return 0; + + // align the pointer + ptr = (char*)(((size_t)(ptr0 + sizeof(char*) + 1) + _MALLOC_ALIGN - 1) & ~(size_t)(_MALLOC_ALIGN - 1)); + *(char**)(ptr - sizeof(char*)) = ptr0; + + return ptr; +} + +void myFree_(void* ptr) +{ + // Pointer must be aligned by _MALLOC_ALIGN + if (ptr) + { + if (((size_t)ptr & (_MALLOC_ALIGN - 1)) != 0) + return; + free(*((char**)ptr - 1)); + } +} + + +CDataBlob setDataFrom3x3S2P1to1x1S1P0FromImage(const unsigned char* inputData, int imgWidth, int imgHeight, int imgChannels, int imgWidthStep, int padDivisor) { + if (imgChannels != 3) { + std::cerr << __FUNCTION__ << ": The input image must be a 3-channel RGB image." << std::endl; + exit(1); + } + if (padDivisor != 32) { + std::cerr << __FUNCTION__ << ": This version need pad of 32" << std::endl; + exit(1); + } + int rows = ((imgHeight - 1) / padDivisor + 1) * padDivisor / 2; + int cols = ((imgWidth - 1) / padDivisor + 1 ) * padDivisor / 2; + int channels = 32; + CDataBlob outBlob(rows, cols, channels); + +#if defined(_OPENMP) +#pragma omp parallel for +#endif + for (int r = 0; r < rows; r++) { + for (int c = 0; c < cols; c++) { + float* pData = outBlob.ptr(r, c); + for (int fy = -1; fy <= 1; fy++) { + int srcy = r * 2 + fy; + + if (srcy < 0 || srcy >= imgHeight) //out of the range of the image + continue; + + for (int fx = -1; fx <= 1; fx++) { + int srcx = c * 2 + fx; + + if (srcx < 0 || srcx >= imgWidth) //out of the range of the image + continue; + + const unsigned char * pImgData = inputData + size_t(imgWidthStep) * srcy + imgChannels * srcx; + + int output_channel_offset = ((fy + 1) * 3 + fx + 1) ; //3x3 filters, 3-channel image + pData[output_channel_offset * imgChannels] = pImgData[0]; + pData[output_channel_offset * imgChannels + 1] = pImgData[1]; + pData[output_channel_offset * imgChannels + 2] = pImgData[2]; + } + } + } + } + return outBlob; +} + +//p1 and p2 must be 512-bit aligned (16 float numbers) +inline float dotProduct(const float * p1, const float * p2, int num) +{ + float sum = 0.f; + +#if defined(_ENABLE_AVX512) + __m512 a_float_x16, b_float_x16; + __m512 sum_float_x16 = _mm512_setzero_ps(); + for (int i = 0; i < num; i += 16) + { + a_float_x16 = _mm512_load_ps(p1 + i); + b_float_x16 = _mm512_load_ps(p2 + i); + sum_float_x16 = _mm512_add_ps(sum_float_x16, _mm512_mul_ps(a_float_x16, b_float_x16)); + } + sum = _mm512_reduce_add_ps(sum_float_x16); +#elif defined(_ENABLE_AVX2) + __m256 a_float_x8, b_float_x8; + __m256 sum_float_x8 = _mm256_setzero_ps(); + for (int i = 0; i < num; i += 8) + { + a_float_x8 = _mm256_load_ps(p1 + i); + b_float_x8 = _mm256_load_ps(p2 + i); + sum_float_x8 = _mm256_add_ps(sum_float_x8, _mm256_mul_ps(a_float_x8, b_float_x8)); + } + sum_float_x8 = _mm256_hadd_ps(sum_float_x8, sum_float_x8); + sum_float_x8 = _mm256_hadd_ps(sum_float_x8, sum_float_x8); + sum = ((float*)&sum_float_x8)[0] + ((float*)&sum_float_x8)[4]; +#elif defined(_ENABLE_NEON) + float32x4_t a_float_x4, b_float_x4; + float32x4_t sum_float_x4; + sum_float_x4 = vdupq_n_f32(0); + for (int i = 0; i < num; i+=4) + { + a_float_x4 = vld1q_f32(p1 + i); + b_float_x4 = vld1q_f32(p2 + i); + sum_float_x4 = vaddq_f32(sum_float_x4, vmulq_f32(a_float_x4, b_float_x4)); + } + sum += vgetq_lane_f32(sum_float_x4, 0); + sum += vgetq_lane_f32(sum_float_x4, 1); + sum += vgetq_lane_f32(sum_float_x4, 2); + sum += vgetq_lane_f32(sum_float_x4, 3); +#else + for(int i = 0; i < num; i++) + { + sum += (p1[i] * p2[i]); + } +#endif + + return sum; +} + +inline bool vecMulAdd(const float * p1, const float * p2, float * p3, int num) +{ +#if defined(_ENABLE_AVX512) + __m512 a_float_x16, b_float_x16, c_float_x16; + for (int i = 0; i < num; i += 16) + { + a_float_x16 = _mm512_load_ps(p1 + i); + b_float_x16 = _mm512_load_ps(p2 + i); + c_float_x16 = _mm512_load_ps(p3 + i); + c_float_x16 = _mm512_add_ps(c_float_x16, _mm512_mul_ps(a_float_x16, b_float_x16)); + _mm512_store_ps(p3 + i, c_float_x16); + } +#elif defined(_ENABLE_AVX2) + __m256 a_float_x8, b_float_x8, c_float_x8; + for (int i = 0; i < num; i += 8) + { + a_float_x8 = _mm256_load_ps(p1 + i); + b_float_x8 = _mm256_load_ps(p2 + i); + c_float_x8 = _mm256_load_ps(p3 + i); + c_float_x8 = _mm256_add_ps(c_float_x8, _mm256_mul_ps(a_float_x8, b_float_x8)); + _mm256_store_ps(p3 + i, c_float_x8); + } +#elif defined(_ENABLE_NEON) + float32x4_t a_float_x4, b_float_x4, c_float_x4; + for (int i = 0; i < num; i+=4) + { + a_float_x4 = vld1q_f32(p1 + i); + b_float_x4 = vld1q_f32(p2 + i); + c_float_x4 = vld1q_f32(p3 + i); + c_float_x4 = vaddq_f32(c_float_x4, vmulq_f32(a_float_x4, b_float_x4)); + vst1q_f32(p3 + i, c_float_x4); + } +#else + for(int i = 0; i < num; i++) + p3[i] += (p1[i] * p2[i]); +#endif + + return true; +} + +inline bool vecAdd(const float * p1, float * p2, int num) +{ +#if defined(_ENABLE_AVX512) + __m512 a_float_x16, b_float_x16; + for (int i = 0; i < num; i += 16) + { + a_float_x16 = _mm512_load_ps(p1 + i); + b_float_x16 = _mm512_load_ps(p2 + i); + b_float_x16 = _mm512_add_ps(a_float_x16, b_float_x16); + _mm512_store_ps(p2 + i, b_float_x16); + } +#elif defined(_ENABLE_AVX2) + __m256 a_float_x8, b_float_x8; + for (int i = 0; i < num; i += 8) + { + a_float_x8 = _mm256_load_ps(p1 + i); + b_float_x8 = _mm256_load_ps(p2 + i); + b_float_x8 = _mm256_add_ps(a_float_x8, b_float_x8); + _mm256_store_ps(p2 + i, b_float_x8); + } +#elif defined(_ENABLE_NEON) + float32x4_t a_float_x4, b_float_x4, c_float_x4; + for (int i = 0; i < num; i+=4) + { + a_float_x4 = vld1q_f32(p1 + i); + b_float_x4 = vld1q_f32(p2 + i); + c_float_x4 = vaddq_f32(a_float_x4, b_float_x4); + vst1q_f32(p2 + i, c_float_x4); + } +#else + for(int i = 0; i < num; i++) + { + p2[i] += p1[i]; + } +#endif + return true; +} + +inline bool vecAdd(const float * p1, const float * p2, float* p3, int num) +{ +#if defined(_ENABLE_AVX512) + __m512 a_float_x16, b_float_x16; + for (int i = 0; i < num; i += 16) + { + a_float_x16 = _mm512_load_ps(p1 + i); + b_float_x16 = _mm512_load_ps(p2 + i); + b_float_x16 = _mm512_add_ps(a_float_x16, b_float_x16); + _mm512_store_ps(p3 + i, b_float_x16); + } +#elif defined(_ENABLE_AVX2) + __m256 a_float_x8, b_float_x8; + for (int i = 0; i < num; i += 8) + { + a_float_x8 = _mm256_load_ps(p1 + i); + b_float_x8 = _mm256_load_ps(p2 + i); + b_float_x8 = _mm256_add_ps(a_float_x8, b_float_x8); + _mm256_store_ps(p3 + i, b_float_x8); + } +#elif defined(_ENABLE_NEON) + float32x4_t a_float_x4, b_float_x4, c_float_x4; + for (int i = 0; i < num; i+=4) + { + a_float_x4 = vld1q_f32(p1 + i); + b_float_x4 = vld1q_f32(p2 + i); + c_float_x4 = vaddq_f32(a_float_x4, b_float_x4); + vst1q_f32(p3 + i, c_float_x4); + } +#else + for(int i = 0; i < num; i++) + { + p3[i] = p1[i] + p2[i]; + } +#endif + return true; +} + +bool convolution_1x1pointwise(const CDataBlob & inputData, const Filters & filters, CDataBlob & outputData) +{ +#if defined(_OPENMP) +#pragma omp parallel for +#endif + for (int row = 0; row < outputData.rows; row++) + { + for (int col = 0; col < outputData.cols; col++) + { + float * pOut = outputData.ptr(row, col); + const float * pIn = inputData.ptr(row, col); + for (int ch = 0; ch < outputData.channels; ch++) + { + const float * pF = filters.weights.ptr(0, ch); + pOut[ch] = dotProduct(pIn, pF, inputData.channels); + pOut[ch] += filters.biases.data[ch]; + } + } + } + return true; +} + +bool convolution_3x3depthwise(const CDataBlob & inputData, const Filters & filters, CDataBlob & outputData) +{ + //set all elements in outputData to zeros + outputData.setZero(); +#if defined(_OPENMP) +#pragma omp parallel for +#endif + for (int row = 0; row < outputData.rows; row++) + { + int srcy_start = row - 1; + int srcy_end = srcy_start + 3; + srcy_start = MAX(0, srcy_start); + srcy_end = MIN(srcy_end, inputData.rows); + + for (int col = 0; col < outputData.cols; col++) + { + float * pOut = outputData.ptr(row, col); + int srcx_start = col - 1; + int srcx_end = srcx_start + 3; + srcx_start = MAX(0, srcx_start); + srcx_end = MIN(srcx_end, inputData.cols); + + + for ( int r = srcy_start; r < srcy_end; r++) + for( int c = srcx_start; c < srcx_end; c++) + { + int filter_r = r - row + 1; + int filter_c = c - col + 1; + int filter_idx = filter_r * 3 + filter_c; + vecMulAdd(inputData.ptr(r, c), filters.weights.ptr(0, filter_idx), pOut, filters.num_filters); + } + vecAdd(filters.biases.ptr(0,0), pOut, filters.num_filters); + } + } + return true; +} + +bool relu(CDataBlob & inputoutputData) +{ + if( inputoutputData.isEmpty() ) + { + std::cerr << __FUNCTION__ << ": The input data is empty." << std::endl; + return false; + } + + int len = inputoutputData.cols * inputoutputData.rows * inputoutputData.channelStep / sizeof(float); + + +#if defined(_ENABLE_AVX512) + __m512 a, bzeros; + bzeros = _mm512_setzero_ps(); //zeros + for( int i = 0; i < len; i+=16) + { + a = _mm512_load_ps(inputoutputData.data + i); + a = _mm512_max_ps(a, bzeros); + _mm512_store_ps(inputoutputData.data + i, a); + } +#elif defined(_ENABLE_AVX2) + __m256 a, bzeros; + bzeros = _mm256_setzero_ps(); //zeros + for( int i = 0; i < len; i+=8) + { + a = _mm256_load_ps(inputoutputData.data + i); + a = _mm256_max_ps(a, bzeros); + _mm256_store_ps(inputoutputData.data + i, a); + } +#else + for( int i = 0; i < len; i++) + inputoutputData.data[i] *= (inputoutputData.data[i] >0); +#endif + + return true; +} + +void IntersectBBox(const NormalizedBBox& bbox1, const NormalizedBBox& bbox2, + NormalizedBBox* intersect_bbox) +{ + if (bbox2.xmin > bbox1.xmax || bbox2.xmax < bbox1.xmin || + bbox2.ymin > bbox1.ymax || bbox2.ymax < bbox1.ymin) + { + // Return [0, 0, 0, 0] if there is no intersection. + intersect_bbox->xmin = 0; + intersect_bbox->ymin = 0; + intersect_bbox->xmax = 0; + intersect_bbox->ymax = 0; + } + else + { + intersect_bbox->xmin = (std::max(bbox1.xmin, bbox2.xmin)); + intersect_bbox->ymin = (std::max(bbox1.ymin, bbox2.ymin)); + intersect_bbox->xmax = (std::min(bbox1.xmax, bbox2.xmax)); + intersect_bbox->ymax = (std::min(bbox1.ymax, bbox2.ymax)); + } +} + +float JaccardOverlap(const NormalizedBBox& bbox1, const NormalizedBBox& bbox2) +{ + NormalizedBBox intersect_bbox; + IntersectBBox(bbox1, bbox2, &intersect_bbox); + float intersect_width, intersect_height; + intersect_width = intersect_bbox.xmax - intersect_bbox.xmin; + intersect_height = intersect_bbox.ymax - intersect_bbox.ymin; + + if (intersect_width > 0 && intersect_height > 0) + { + float intersect_size = intersect_width * intersect_height; + float bsize1 = (bbox1.xmax - bbox1.xmin)*(bbox1.ymax - bbox1.ymin); + float bsize2 = (bbox2.xmax - bbox2.xmin)*(bbox2.ymax - bbox2.ymin); + return intersect_size / ( bsize1 + bsize2 - intersect_size); + } + else + { + return 0.f; + } +} + +bool SortScoreBBoxPairDescend(const std::pair& pair1, const std::pair& pair2) +{ + return pair1.first > pair2.first; +} + + +CDataBlob upsampleX2(const CDataBlob& inputData) { + if (inputData.isEmpty()) { + std::cerr << __FUNCTION__ << ": The input data is empty." << std::endl; + exit(1); + } + + CDataBlob outData(inputData.rows * 2, inputData.cols * 2, inputData.channels); + + for (int r = 0; r < inputData.rows; r++) { + for (int c = 0; c < inputData.cols; c++) { + const float * pIn = inputData.ptr(r, c); + int outr = r * 2; + int outc = c * 2; + for (int ch = 0; ch < inputData.channels; ++ch) { + outData.ptr(outr, outc)[ch] = pIn[ch]; + outData.ptr(outr, outc + 1)[ch] = pIn[ch]; + outData.ptr(outr + 1, outc)[ch] = pIn[ch]; + outData.ptr(outr + 1, outc + 1)[ch] = pIn[ch]; + } + } + } + return outData; +} + +CDataBlob elementAdd(const CDataBlob& inputData1, const CDataBlob& inputData2) { + if (inputData1.rows != inputData2.rows || inputData1.cols != inputData2.cols || inputData1.channels != inputData2.channels) { + std::cerr << __FUNCTION__ << ": The two input datas must be in the same shape." << std::endl; + exit(1); + } + CDataBlob outData(inputData1.rows, inputData1.cols, inputData1.channels); + for (int r = 0; r < inputData1.rows; r++) { + for (int c = 0; c < inputData1.cols; c++) { + const float * pIn1 = inputData1.ptr(r, c); + const float * pIn2 = inputData2.ptr(r, c); + float* pOut = outData.ptr(r, c); + vecAdd(pIn1, pIn2, pOut, inputData1.channels); + } + } + return outData; +} + +CDataBlob convolution(const CDataBlob& inputData, const Filters& filters, bool do_relu) +{ + if( inputData.isEmpty() || filters.weights.isEmpty() || filters.biases.isEmpty()) + { + std::cerr << __FUNCTION__ << ": The input data or filter data is empty" << std::endl; + exit(1); + } + if( inputData.channels != filters.channels) + { + std::cerr << __FUNCTION__ << ": The input data dimension cannot meet filters: " << inputData.channels << " vs " << filters.channels << std::endl; + exit(1); + } + CDataBlob outputData(inputData.rows, inputData.cols, filters.num_filters); + if(filters.is_pointwise && !filters.is_depthwise) + convolution_1x1pointwise(inputData, filters, outputData); + else if(!filters.is_pointwise && filters.is_depthwise) + convolution_3x3depthwise(inputData, filters, outputData); + else + { + std::cerr << __FUNCTION__ << ": Unsupported filter type." << std::endl; + exit(1); + } + + if(do_relu) + relu(outputData); + + return outputData; +} + +CDataBlob convolutionDP(const CDataBlob& inputData, + const Filters& filtersP, const Filters& filtersD, bool do_relu) +{ + CDataBlob tmp = convolution(inputData, filtersP, false); + CDataBlob out = convolution(tmp, filtersD, do_relu); + return out; +} + +CDataBlob convolution4layerUnit(const CDataBlob& inputData, + const Filters& filtersP1, const Filters& filtersD1, + const Filters& filtersP2, const Filters& filtersD2, bool do_relu) +{ + CDataBlob tmp = convolutionDP(inputData, filtersP1, filtersD1, true); + CDataBlob out = convolutionDP(tmp, filtersP2, filtersD2, do_relu); + return out; +} + + +//only 2X2 S2 is supported +CDataBlob maxpooling2x2S2(const CDataBlob&inputData) +{ + if (inputData.isEmpty()) + { + std::cerr << __FUNCTION__ << ": The input data is empty." << std::endl; + exit(1); + } + int outputR = static_cast(ceil((inputData.rows - 3.0f) / 2)) + 1; + int outputC = static_cast(ceil((inputData.cols - 3.0f) / 2)) + 1; + int outputCH = inputData.channels; + + if (outputR < 1 || outputC < 1) + { + std::cerr << __FUNCTION__ << ": The size of the output is not correct. (" << outputR << ", " << outputC << ")." << std::endl; + exit(1); + } + + CDataBlob outputData(outputR, outputC, outputCH); + outputData.setZero(); + + for (int row = 0; row < outputData.rows; row++) + { + for (int col = 0; col < outputData.cols; col++) + { + size_t inputMatOffsetsInElement[4]; + int elementCount = 0; + + int rstart = row * 2; + int cstart = col * 2; + int rend = MIN(rstart + 2, inputData.rows); + int cend = MIN(cstart + 2, inputData.cols); + + for (int fr = rstart; fr < rend; fr++) + { + for (int fc = cstart; fc < cend; fc++) + { + inputMatOffsetsInElement[elementCount++] = (size_t(fr) * inputData.cols + fc) * inputData.channelStep / sizeof(float); + } + } + + float * pOut = outputData.ptr(row, col); + float * pIn = inputData.data; + +#if defined(_ENABLE_NEON) + for (int ch = 0; ch < outputData.channels; ch += 4) + { + float32x4_t tmp; + float32x4_t maxVal = vld1q_f32(pIn + ch + inputMatOffsetsInElement[0]); + for (int ec = 1; ec < elementCount; ec++) + { + tmp = vld1q_f32(pIn + ch + inputMatOffsetsInElement[ec]); + maxVal = vmaxq_f32(maxVal, tmp); + } + vst1q_f32(pOut + ch, maxVal); + } +#elif defined(_ENABLE_AVX512) + for (int ch = 0; ch < outputData.channels; ch += 16) + { + __m512 tmp; + __m512 maxVal = _mm512_load_ps((__m512 const*)(pIn + ch + inputMatOffsetsInElement[0])); + for (int ec = 1; ec < elementCount; ec++) + { + tmp = _mm512_load_ps((__m512 const*)(pIn + ch + inputMatOffsetsInElement[ec])); + maxVal = _mm512_max_ps(maxVal, tmp); + } + _mm512_store_ps((__m512*)(pOut + ch), maxVal); + } +#elif defined(_ENABLE_AVX2) + for (int ch = 0; ch < outputData.channels; ch += 8) + { + __m256 tmp; + __m256 maxVal = _mm256_load_ps((float const*)(pIn + ch + inputMatOffsetsInElement[0])); + for (int ec = 1; ec < elementCount; ec++) + { + tmp = _mm256_load_ps((float const*)(pIn + ch + inputMatOffsetsInElement[ec])); + maxVal = _mm256_max_ps(maxVal, tmp); + } + _mm256_store_ps(pOut + ch, maxVal); + } +#else + for (int ch = 0; ch < outputData.channels; ch++) + { + float maxVal = pIn[ch + inputMatOffsetsInElement[0]]; + for (int ec = 1; ec < elementCount; ec++) + { + maxVal = MAX(maxVal, pIn[ch + inputMatOffsetsInElement[ec]]); + } + pOut[ch] = maxVal; + } +#endif + } + } + return outputData; +} + +CDataBlob meshgrid(int feature_width, int feature_height, int stride, float offset) { + CDataBlob out(feature_height, feature_width, 2); + for(int r = 0; r < feature_height; ++r) { + float rx = (float)(r * stride) + offset; + for(int c = 0; c < feature_width; ++c) { + float* p = out.ptr(r, c); + p[0] = (float)(c * stride) + offset; + p[1] = rx; + } + } + return out; +} + +void bbox_decode(CDataBlob& bbox_pred, const CDataBlob& priors, int stride) { + if(bbox_pred.cols != priors.cols || bbox_pred.rows != priors.rows) { + std::cerr << __FUNCTION__ << ": Mismatch between feature map and anchor size. (" \ + << (bbox_pred.rows) << ", " << (bbox_pred.cols) << ") vs (" \ + << (priors.rows) << ", " << (priors.cols) << ")." << std::endl; + } + if(bbox_pred.channels != 4) { + std::cerr << __FUNCTION__ << ": The bbox dim must be 4." << std::endl; + } + float fstride = (float)stride; + for(int r = 0; r < bbox_pred.rows; ++r) { + for(int c = 0; c < bbox_pred.cols; ++c) { + float* pb = bbox_pred.ptr(r, c); + const float* pp = priors.ptr(r, c); + float cx = pb[0] * fstride + pp[0]; + float cy = pb[1] * fstride + pp[1]; + float w = std::exp(pb[2]) * fstride; + float h = std::exp(pb[3]) * fstride; + pb[0] = cx - w / 2.f; + pb[1] = cy - h / 2.f; + pb[2] = cx + w / 2.f; + pb[3] = cy + h / 2.f; + } + } +} + +void kps_decode(CDataBlob& kps_pred, const CDataBlob& priors, int stride) { + if(kps_pred.cols != priors.cols || kps_pred.rows != priors.rows) { + std::cerr << __FUNCTION__ << ": Mismatch between feature map and anchor size." << std::endl; + exit(1); + } + if(kps_pred.channels & 1) { + std::cerr << __FUNCTION__ << ": The kps dim must be even." << std::endl; + exit(1); + } + float fstride = (float)stride; + int num_points = kps_pred.channels >> 1; + + for(int r = 0; r < kps_pred.rows; ++r) { + for(int c = 0; c < kps_pred.cols; ++c) { + float* pb = kps_pred.ptr(r, c); + const float* pp = priors.ptr(r, c); + for(int n = 0; n < num_points; ++n) { + pb[2 * n] = pb[2 * n] * fstride + pp[0]; + pb[2 * n + 1] = pb[2 * n + 1] * fstride + pp[1]; + } + } + } +} + +template +CDataBlob concat3(const CDataBlob& inputData1, const CDataBlob& inputData2, const CDataBlob& inputData3) +{ + if ((inputData1.isEmpty()) || (inputData2.isEmpty()) || (inputData3.isEmpty())) + { + std::cerr << __FUNCTION__ << ": The input data is empty." << std::endl; + exit(1); + } + + if ((inputData1.cols != inputData2.cols) || + (inputData1.rows != inputData2.rows) || + (inputData1.cols != inputData3.cols) || + (inputData1.rows != inputData3.rows)) + { + std::cerr << __FUNCTION__ << ": The three inputs must have the same size." << std::endl; + exit(1); + } + int outputR = inputData1.rows; + int outputC = inputData1.cols; + int outputCH = inputData1.channels + inputData2.channels + inputData3.channels; + + if (outputR < 1 || outputC < 1 || outputCH < 1) + { + std::cerr << __FUNCTION__ << ": The size of the output is not correct. (" << outputR << ", " << outputC << ", " << outputCH << ")." << std::endl; + exit(1); + } + + CDataBlob outputData(outputR, outputC, outputCH); + + for (int row = 0; row < outputData.rows; row++) + { + for (int col = 0; col < outputData.cols; col++) + { + T * pOut = outputData.ptr(row, col); + const T * pIn1 = inputData1.ptr(row, col); + const T * pIn2 = inputData2.ptr(row, col); + const T * pIn3 = inputData3.ptr(row, col); + + memcpy(pOut, pIn1, sizeof(T)* inputData1.channels); + memcpy(pOut + inputData1.channels, pIn2, sizeof(T)* inputData2.channels); + memcpy(pOut + inputData1.channels + inputData2.channels, pIn3, sizeof(T)* inputData3.channels); + } + } + return outputData; +} +template CDataBlob concat3(const CDataBlob& inputData1, const CDataBlob& inputData2, const CDataBlob& inputData3); + +template +CDataBlob blob2vector(const CDataBlob &inputData) +{ + if (inputData.isEmpty()) + { + std::cerr << __FUNCTION__ << ": The input data is empty." << std::endl; + exit(1); + } + + CDataBlob outputData(1, 1, inputData.cols * inputData.rows * inputData.channels); + + int bytesOfAChannel = inputData.channels * sizeof(T); + T * pOut = outputData.ptr(0,0); + for (int row = 0; row < inputData.rows; row++) + { + for (int col = 0; col < inputData.cols; col++) + { + const T * pIn = inputData.ptr(row, col); + memcpy(pOut, pIn, bytesOfAChannel); + pOut += inputData.channels; + } + } + + return outputData; +} +template CDataBlob blob2vector(const CDataBlob& inputData); + +void sigmoid(CDataBlob& inputData) { + for(int r = 0; r < inputData.rows; ++r) { + for(int c = 0; c < inputData.cols; ++c) { + float* pIn = inputData.ptr(r, c); + for(int ch = 0; ch < inputData.channels; ++ch) { + float v = pIn[ch]; + v = std::min(v, 88.3762626647949f); + v = std::max(v, -88.3762626647949f); + pIn[ch] = static_cast(1.f / (1.f + exp(-v))); + } + } + } +} + +std::vector detection_output(const CDataBlob& cls, + const CDataBlob& reg, + const CDataBlob& kps, + const CDataBlob& obj, + float overlap_threshold, + float confidence_threshold, + int top_k, + int keep_top_k) +{ + if (reg.isEmpty() || cls.isEmpty() || kps.isEmpty() || obj.isEmpty())//|| iou.isEmpty()) + { + std::cerr << __FUNCTION__ << ": The input data is null." << std::endl; + exit(1); + } + if(reg.cols != 1 || reg.rows!= 1 || cls.cols != 1 || cls.rows!= 1 || kps.cols != 1 || kps.rows!= 1 || obj.cols != 1 || obj.rows!= 1) { + std::cerr << __FUNCTION__ << ": Only support vector format." << std::endl; + exit(1); + } + + if((int)(kps.channels / obj.channels) != 10) { + std::cerr << __FUNCTION__ << ": Only support 5 keypoints. (" << kps.channels << ")" << std::endl; + exit(1); + } + + const float* pCls = cls.ptr(0, 0); + const float* pReg = reg.ptr(0, 0); + const float* pObj = obj.ptr(0, 0); + const float* pKps = kps.ptr(0, 0); + + std::vector > score_bbox_vec; + std::vector > final_score_bbox_vec; + + //get the candidates those are > confidence_threshold + for(int i = 0; i < cls.channels; ++i) + { + float conf = std::sqrt(pCls[i] * pObj[i]); + // float conf = pCls[i] * pObj[i]; + + if(conf >= confidence_threshold) + { + NormalizedBBox bb; + bb.xmin = pReg[4 * i]; + bb.ymin = pReg[4 * i + 1]; + bb.xmax = pReg[4 * i + 2]; + bb.ymax = pReg[4 * i + 3]; + + //store the five landmarks + memcpy(bb.lm, pKps + 10 * i, 10 * sizeof(float)); + score_bbox_vec.push_back(std::make_pair(conf, bb)); + } + } + + //Sort the score pair according to the scores in descending order + std::stable_sort(score_bbox_vec.begin(), score_bbox_vec.end(), SortScoreBBoxPairDescend); + + // Keep top_k scores if needed. + if (top_k > -1 && size_t(top_k) < score_bbox_vec.size()) { + score_bbox_vec.resize(top_k); + } + + //Do NMS + final_score_bbox_vec.clear(); + while (score_bbox_vec.size() != 0) { + const NormalizedBBox bb1 = score_bbox_vec.front().second; + bool keep = true; + for (size_t k = 0; k < final_score_bbox_vec.size(); k++) + { + if (keep) + { + const NormalizedBBox bb2 = final_score_bbox_vec[k].second; + float overlap = JaccardOverlap(bb1, bb2); + keep = (overlap <= overlap_threshold); + } + else + { + break; + } + } + if (keep) { + final_score_bbox_vec.push_back(score_bbox_vec.front()); + } + score_bbox_vec.erase(score_bbox_vec.begin()); + } + if (keep_top_k > -1 && size_t(keep_top_k) < final_score_bbox_vec.size()) { + final_score_bbox_vec.resize(keep_top_k); + } + + //copy the results to the output blob + int num_faces = (int)final_score_bbox_vec.size(); + + std::vector facesInfo; + for (int fi = 0; fi < num_faces; fi++) + { + std::pair pp = final_score_bbox_vec[fi]; + + FaceRect r; + r.score = pp.first; + r.x = int(pp.second.xmin); + r.y = int(pp.second.ymin); + r.w = int(pp.second.xmax - pp.second.xmin); + r.h = int(pp.second.ymax - pp.second.ymin); + //copy landmark data + for(int i = 0; i < 10; ++i) { + r.lm[i] = int(pp.second.lm[i]); + } + facesInfo.emplace_back(r); + } + + return facesInfo; +} diff --git a/network_camera_receiver/CMakeLists.txt b/network_camera_receiver/CMakeLists.txt new file mode 100644 index 0000000..e60a6ac --- /dev/null +++ b/network_camera_receiver/CMakeLists.txt @@ -0,0 +1,25 @@ +# ============================================================================ +# network_camera_receiver —— 静态库 +# 仅负责从网络视频流抓取最新帧，不包含任何人脸检测逻辑、不依赖 libfacedetection。 +# ============================================================================ + +add_library(network_camera_receiver STATIC + src/network_camera_receiver.cpp +) + +target_include_directories(network_camera_receiver PUBLIC + ${CMAKE_CURRENT_SOURCE_DIR}/include +) + +# OpenCV 用于视频采集；Threads 用于后台抓帧线程。 +# 设为 PUBLIC，链接本库的目标可传递获得这些依赖。 +target_link_libraries(network_camera_receiver PUBLIC + ${OpenCV_LIBS} + Threads::Threads +) + +if(CMAKE_CXX_COMPILER_ID MATCHES "GNU|Clang") + target_compile_options(network_camera_receiver PRIVATE -O3) +elseif(MSVC) + target_compile_options(network_camera_receiver PRIVATE /O2) +endif() diff --git a/network_camera_receiver/include/network_camera_receiver.h b/network_camera_receiver/include/network_camera_receiver.h new file mode 100644 index 0000000..9e191e8 --- /dev/null +++ b/network_camera_receiver/include/network_camera_receiver.h @@ -0,0 +1,47 @@ +/* + * @Author: Liu zhenyu + * @Description: 网络摄像头接收器（重构版） + * 仅负责从视频流抓取最新帧，不做任何检测/显示。 + * 主程序通过 getLatestFrame() 拉取最新帧后自行处理。 + */ + +#ifndef NETWORK_CAMERA_RECEIVER_H +#define NETWORK_CAMERA_RECEIVER_H + +#include +#include +#include +#include +#include + +class NetworkCameraReceiver { +public: + NetworkCameraReceiver(const std::string& host_ip, int port = 5000); + ~NetworkCameraReceiver(); + + // 打开视频流 + bool connect(); + // 启动后台抓帧线程（不阻塞） + void start(); + // 停止抓帧线程并 join + void stop(); + // 取最新帧（深拷贝到 out）；自上次取帧后若无新帧则返回 false + bool getLatestFrame(cv::Mat& out); + // 视频流是否已打开 + bool isOpened() const; + +private: + // 后台抓帧循环 + void captureLoop(); + + std::string stream_url; + cv::VideoCapture cap; + + std::thread capture_thread; + std::mutex mtx; // 保护 latest_frame + cv::Mat latest_frame; // 最新一帧 + std::atomic has_new_frame{false}; + std::atomic running{false}; +}; + +#endif // NETWORK_CAMERA_RECEIVER_H diff --git a/network_camera_receiver/src/network_camera_receiver.cpp b/network_camera_receiver/src/network_camera_receiver.cpp new file mode 100644 index 0000000..39fe617 --- /dev/null +++ b/network_camera_receiver/src/network_camera_receiver.cpp @@ -0,0 +1,73 @@ +/* + * @Author: Liu zhenyu + * @Description: 网络摄像头接收器（重构版）实现 + * 后台线程持续抓帧并更新最新帧缓冲；主线程按需拉取。 + */ + +#include "network_camera_receiver.h" +#include +#include + +NetworkCameraReceiver::NetworkCameraReceiver(const std::string& host_ip, int port) { + stream_url = "http://" + host_ip + ":" + std::to_string(port) + "/video"; +} + +NetworkCameraReceiver::~NetworkCameraReceiver() { + stop(); + if (cap.isOpened()) cap.release(); +} + +bool NetworkCameraReceiver::connect() { + std::cout << "尝试连接到视频流: " << stream_url << std::endl; + cap.open(stream_url); + if (!cap.isOpened()) { + std::cerr << "无法打开视频流: " << stream_url << std::endl; + return false; + } + std::cout << "视频流连接成功。" << std::endl; + return true; +} + +bool NetworkCameraReceiver::isOpened() const { + return cap.isOpened(); +} + +void NetworkCameraReceiver::start() { + // 已在运行则直接返回 + if (running.exchange(true)) return; + capture_thread = std::thread(&NetworkCameraReceiver::captureLoop, this); +} + +void NetworkCameraReceiver::stop() { + // 未运行则直接返回 + if (!running.exchange(false)) return; + if (capture_thread.joinable()) capture_thread.join(); +} + +void NetworkCameraReceiver::captureLoop() { + cv::Mat frame; + while (running.load()) { + cap >> frame; + if (frame.empty()) { + // 流暂未就绪或读取失败，稍作等待避免空转占满 CPU + std::this_thread::sleep_for(std::chrono::milliseconds(10)); + continue; + } + { + std::lock_guard lock(mtx); + // 仅保留最新一帧，旧帧直接丢弃 + frame.copyTo(latest_frame); + } + has_new_frame.store(true); + } +} + +bool NetworkCameraReceiver::getLatestFrame(cv::Mat& out) { + if (!has_new_frame.load()) return false; + // 先清标记：若在此期间后台又写入新帧，标记会被再次置 true，下一轮可取到 + has_new_frame.store(false); + std::lock_guard lock(mtx); + if (latest_frame.empty()) return false; + latest_frame.copyTo(out); + return true; +} diff --git a/resources/test.jpg b/resources/test.jpg new file mode 100644 index 0000000..47edeaa Binary files /dev/null and b/resources/test.jpg differ