一.下载源代码
官方地址:
https://gitee.com/paddlepaddle/PaddleDetection
网盘:
paddledetection
链接:https://pan.baidu.com/s/1g0z5SYQNDR1pwe9iAtvR3A?pwd=ktl6
提取码:ktl6
paddleocr
链接:https://pan.baidu.com/s/1QcLbGJD7NB9UVPbUAulCuA?pwd=o68i
提取码:o68i
二.找到c++部署代码
我个人为了整体性把src文件里的后缀都改为了cpp
三.改CMakeLists.txt文件
原版cmake文件很繁琐,我改写了一个简洁版的
移植的时候只需要改头文件地址和库文件地址即可
1.改前
cmake_minimum_required(VERSION 3.0)
project(PaddleObjectDetector CXX C)
option(WITH_MKL "Compile demo with MKL/OpenBlas support,defaultuseMKL." ON)
option(WITH_GPU "Compile demo with GPU/CPU, default use CPU." ON)
option(WITH_TENSORRT "Compile demo with TensorRT." OFF)
option(WITH_KEYPOINT "Whether to Compile KeyPoint detector" OFF)
option(WITH_MOT "Whether to Compile MOT detector" OFF)
SET(PADDLE_DIR "" CACHE PATH "Location of libraries")
SET(PADDLE_LIB_NAME "" CACHE STRING "libpaddle_inference")
SET(OPENCV_DIR "" CACHE PATH "Location of libraries")
SET(CUDA_LIB "" CACHE PATH "Location of libraries")
SET(CUDNN_LIB "" CACHE PATH "Location of libraries")
SET(TENSORRT_INC_DIR "" CACHE PATH "Compile demo with TensorRT")
SET(TENSORRT_LIB_DIR "" CACHE PATH "Compile demo with TensorRT")
include(cmake/yaml-cpp.cmake)
include_directories("${CMAKE_SOURCE_DIR}/")
include_directories("${CMAKE_CURRENT_BINARY_DIR}/ext/yaml-cpp/src/ext-yaml-cpp/include")
link_directories("${CMAKE_CURRENT_BINARY_DIR}/ext/yaml-cpp/lib")
if (WITH_KEYPOINT)
set(SRCS src/main_keypoint.cc src/preprocess_op.cc src/object_detector.cc src/picodet_postprocess.cc src/utils.cc src/keypoint_detector.cc src/keypoint_postprocess.cc)
elseif (WITH_MOT)
set(SRCS src/main_jde.cc src/preprocess_op.cc src/object_detector.cc src/jde_detector.cc src/tracker.cc src/trajectory.cc src/lapjv.cpp src/picodet_postprocess.cc src/utils.cc)
else ()
set(SRCS src/main.cc src/preprocess_op.cc src/object_detector.cc src/picodet_postprocess.cc src/utils.cc)
endif()
macro(safe_set_static_flag)
foreach(flag_var
CMAKE_CXX_FLAGS CMAKE_CXX_FLAGS_DEBUG CMAKE_CXX_FLAGS_RELEASE
CMAKE_CXX_FLAGS_MINSIZEREL CMAKE_CXX_FLAGS_RELWITHDEBINFO)
if(${flag_var} MATCHES "/MD")
string(REGEX REPLACE "/MD" "/MT" ${flag_var} "${${flag_var}}")
endif(${flag_var} MATCHES "/MD")
endforeach(flag_var)
endmacro()
if (WITH_MKL)
ADD_DEFINITIONS(-DUSE_MKL)
endif()
if (NOT DEFINED PADDLE_DIR OR ${PADDLE_DIR} STREQUAL "")
message(FATAL_ERROR "please set PADDLE_DIR with -DPADDLE_DIR=/path/paddle_influence_dir")
endif()
message("PADDLE_DIR IS:" ${PADDLE_DIR})
if (NOT DEFINED OPENCV_DIR OR ${OPENCV_DIR} STREQUAL "")
message(FATAL_ERROR "please set OPENCV_DIR with -DOPENCV_DIR=/path/opencv")
endif()
include_directories("${CMAKE_SOURCE_DIR}/")
include_directories("${PADDLE_DIR}/")
include_directories("${PADDLE_DIR}/third_party/install/protobuf/include")
include_directories("${PADDLE_DIR}/third_party/install/glog/include")
include_directories("${PADDLE_DIR}/third_party/install/gflags/include")
include_directories("${PADDLE_DIR}/third_party/install/xxhash/include")
if (EXISTS "${PADDLE_DIR}/third_party/install/snappy/include")
include_directories("${PADDLE_DIR}/third_party/install/snappy/include")
endif()
if(EXISTS "${PADDLE_DIR}/third_party/install/snappystream/include")
include_directories("${PADDLE_DIR}/third_party/install/snappystream/include")
endif()
include_directories("${PADDLE_DIR}/third_party/boost")
include_directories("${PADDLE_DIR}/third_party/eigen3")
if (EXISTS "${PADDLE_DIR}/third_party/install/snappy/lib")
link_directories("${PADDLE_DIR}/third_party/install/snappy/lib")
endif()
if(EXISTS "${PADDLE_DIR}/third_party/install/snappystream/lib")
link_directories("${PADDLE_DIR}/third_party/install/snappystream/lib")
endif()
link_directories("${PADDLE_DIR}/third_party/install/protobuf/lib")
link_directories("${PADDLE_DIR}/third_party/install/glog/lib")
link_directories("${PADDLE_DIR}/third_party/install/gflags/lib")
link_directories("${PADDLE_DIR}/third_party/install/xxhash/lib")
link_directories("${PADDLE_DIR}/third_party/install/paddle2onnx/lib")
link_directories("${PADDLE_DIR}/third_party/install/onnxruntime/lib")
link_directories("${PADDLE_DIR}/paddle/lib/")
link_directories("${CMAKE_CURRENT_BINARY_DIR}")
if (WIN32)
include_directories("${PADDLE_DIR}/paddle/fluid/inference")
include_directories("${PADDLE_DIR}/paddle/include")
link_directories("${PADDLE_DIR}/paddle/fluid/inference")
find_package(OpenCV REQUIRED PATHS ${OPENCV_DIR}/build/ NO_DEFAULT_PATH)
else ()
find_package(OpenCV REQUIRED PATHS ${OPENCV_DIR}/share/OpenCV NO_DEFAULT_PATH)
include_directories("${PADDLE_DIR}/paddle/include")
link_directories("${PADDLE_DIR}/paddle/lib")
endif ()
include_directories(${OpenCV_INCLUDE_DIRS})
if (WIN32)
add_definitions("/DGOOGLE_GLOG_DLL_DECL=")
set(CMAKE_C_FLAGS_DEBUG "${CMAKE_C_FLAGS_DEBUG} /bigobj /MTd")
set(CMAKE_C_FLAGS_RELEASE "${CMAKE_C_FLAGS_RELEASE} /bigobj /MT")
set(CMAKE_CXX_FLAGS_DEBUG "${CMAKE_CXX_FLAGS_DEBUG} /bigobj /MTd")
set(CMAKE_CXX_FLAGS_RELEASE "${CMAKE_CXX_FLAGS_RELEASE} /bigobj /MT")
else()
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -g -o2 -fopenmp -std=c++11")
set(CMAKE_STATIC_LIBRARY_PREFIX "")
endif()
# TODO let users define cuda lib path
if (WITH_GPU)
if (NOT DEFINED CUDA_LIB OR ${CUDA_LIB} STREQUAL "")
message(FATAL_ERROR "please set CUDA_LIB with -DCUDA_LIB=/path/cuda-8.0/lib64")
endif()
if (NOT WIN32)
if (NOT DEFINED CUDNN_LIB)
message(FATAL_ERROR "please set CUDNN_LIB with -DCUDNN_LIB=/path/cudnn_v7.4/cuda/lib64")
endif()
endif(NOT WIN32)
endif()
if (NOT WIN32)
if (WITH_TENSORRT AND WITH_GPU)
include_directories("${TENSORRT_INC_DIR}/")
link_directories("${TENSORRT_LIB_DIR}/")
endif()
endif(NOT WIN32)
if (NOT WIN32)
set(NGRAPH_PATH "${PADDLE_DIR}/third_party/install/ngraph")
if(EXISTS ${NGRAPH_PATH})
include(GNUInstallDirs)
include_directories("${NGRAPH_PATH}/include")
link_directories("${NGRAPH_PATH}/${CMAKE_INSTALL_LIBDIR}")
set(NGRAPH_LIB ${NGRAPH_PATH}/${CMAKE_INSTALL_LIBDIR}/libngraph${CMAKE_SHARED_LIBRARY_SUFFIX})
endif()
endif()
if(WITH_MKL)
include_directories("${PADDLE_DIR}/third_party/install/mklml/include")
if (WIN32)
set(MATH_LIB ${PADDLE_DIR}/third_party/install/mklml/lib/mklml.lib
${PADDLE_DIR}/third_party/install/mklml/lib/libiomp5md.lib)
else ()
set(MATH_LIB ${PADDLE_DIR}/third_party/install/mklml/lib/libmklml_intel${CMAKE_SHARED_LIBRARY_SUFFIX}
${PADDLE_DIR}/third_party/install/mklml/lib/libiomp5${CMAKE_SHARED_LIBRARY_SUFFIX})
execute_process(COMMAND cp -r ${PADDLE_DIR}/third_party/install/mklml/lib/libmklml_intel${CMAKE_SHARED_LIBRARY_SUFFIX} /usr/lib)
endif ()
set(MKLDNN_PATH "${PADDLE_DIR}/third_party/install/mkldnn")
if(EXISTS ${MKLDNN_PATH})
include_directories("${MKLDNN_PATH}/include")
if (WIN32)
set(MKLDNN_LIB ${MKLDNN_PATH}/lib/mkldnn.lib)
else ()
set(MKLDNN_LIB ${MKLDNN_PATH}/lib/libmkldnn.so.0)
endif ()
endif()
else()
set(MATH_LIB ${PADDLE_DIR}/third_party/install/openblas/lib/libopenblas${CMAKE_STATIC_LIBRARY_SUFFIX})
endif()
if (WIN32)
if(EXISTS "${PADDLE_DIR}/paddle/fluid/inference/${PADDLE_LIB_NAME}${CMAKE_STATIC_LIBRARY_SUFFIX}")
set(DEPS
${PADDLE_DIR}/paddle/fluid/inference/${PADDLE_LIB_NAME}${CMAKE_STATIC_LIBRARY_SUFFIX})
else()
set(DEPS
${PADDLE_DIR}/paddle/lib/${PADDLE_LIB_NAME}${CMAKE_STATIC_LIBRARY_SUFFIX})
endif()
endif()
if (WIN32)
set(DEPS ${PADDLE_DIR}/paddle/lib/${PADDLE_LIB_NAME}${CMAKE_STATIC_LIBRARY_SUFFIX})
else()
set(DEPS ${PADDLE_DIR}/paddle/lib/${PADDLE_LIB_NAME}${CMAKE_SHARED_LIBRARY_SUFFIX})
endif()
message("PADDLE_LIB_NAME:" ${PADDLE_LIB_NAME})
message("DEPS:" $DEPS)
if (NOT WIN32)
set(DEPS ${DEPS}
${MATH_LIB} ${MKLDNN_LIB}
glog gflags protobuf z xxhash yaml-cpp
)
if(EXISTS "${PADDLE_DIR}/third_party/install/snappystream/lib")
set(DEPS ${DEPS} snappystream)
endif()
if (EXISTS "${PADDLE_DIR}/third_party/install/snappy/lib")
set(DEPS ${DEPS} snappy)
endif()
else()
set(DEPS ${DEPS}
${MATH_LIB} ${MKLDNN_LIB}
glog gflags_static libprotobuf xxhash libyaml-cppmt)
set(DEPS ${DEPS} libcmt shlwapi)
if (EXISTS "${PADDLE_DIR}/third_party/install/snappy/lib")
set(DEPS ${DEPS} snappy)
endif()
if(EXISTS "${PADDLE_DIR}/third_party/install/snappystream/lib")
set(DEPS ${DEPS} snappystream)
endif()
endif(NOT WIN32)
if(WITH_GPU)
if(NOT WIN32)
if (WITH_TENSORRT)
set(DEPS ${DEPS} ${TENSORRT_LIB_DIR}/libnvinfer${CMAKE_SHARED_LIBRARY_SUFFIX})
set(DEPS ${DEPS} ${TENSORRT_LIB_DIR}/libnvinfer_plugin${CMAKE_SHARED_LIBRARY_SUFFIX})
endif()
set(DEPS ${DEPS} ${CUDA_LIB}/libcudart${CMAKE_SHARED_LIBRARY_SUFFIX})
set(DEPS ${DEPS} ${CUDNN_LIB}/libcudnn${CMAKE_SHARED_LIBRARY_SUFFIX})
else()
set(DEPS ${DEPS} ${CUDA_LIB}/cudart${CMAKE_STATIC_LIBRARY_SUFFIX} )
set(DEPS ${DEPS} ${CUDA_LIB}/cublas${CMAKE_STATIC_LIBRARY_SUFFIX} )
set(DEPS ${DEPS} ${CUDNN_LIB}/cudnn${CMAKE_STATIC_LIBRARY_SUFFIX})
endif()
endif()
if (NOT WIN32)
set(EXTERNAL_LIB "-ldl -lrt -lgomp -lz -lm -lpthread")
set(DEPS ${DEPS} ${EXTERNAL_LIB})
endif()
set(DEPS ${DEPS} ${OpenCV_LIBS})
add_executable(main ${SRCS})
ADD_DEPENDENCIES(main ext-yaml-cpp)
message("DEPS:" $DEPS)
target_link_libraries(main ${DEPS})
if (WIN32 AND WITH_MKL)
add_custom_command(TARGET main POST_BUILD
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${PADDLE_DIR}/third_party/install/mklml/lib/mklml.dll ./mklml.dll
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${PADDLE_DIR}/third_party/install/mklml/lib/libiomp5md.dll ./libiomp5md.dll
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${PADDLE_DIR}/third_party/install/mkldnn/lib/mkldnn.dll ./mkldnn.dll
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${PADDLE_DIR}/third_party/install/mklml/lib/mklml.dll ./release/mklml.dll
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${PADDLE_DIR}/third_party/install/mklml/lib/libiomp5md.dll ./release/libiomp5md.dll
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${PADDLE_DIR}/third_party/install/mkldnn/lib/mkldnn.dll ./release/mkldnn.dll
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${PADDLE_DIR}/paddle/lib/${PADDLE_LIB_NAME}.dll ./release/${PADDLE_LIB_NAME}.dll
)
endif()
if (WIN32 AND NOT WITH_MKL)
add_custom_command(TARGET main POST_BUILD
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${PADDLE_DIR}/third_party/install/openblas/lib/openblas.dll ./openblas.dll
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${PADDLE_DIR}/third_party/install/openblas/lib/openblas.dll ./release/openblas.dll
)
endif()
if (WIN32)
add_custom_command(TARGET main POST_BUILD
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${PADDLE_DIR}/third_party/install/onnxruntime/lib/onnxruntime.dll ./onnxruntime.dll
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${PADDLE_DIR}/third_party/install/paddle2onnx/lib/paddle2onnx.dll ./paddle2onnx.dll
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${PADDLE_DIR}/third_party/install/onnxruntime/lib/onnxruntime.dll ./release/onnxruntime.dll
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${PADDLE_DIR}/third_party/install/paddle2onnx/lib/paddle2onnx.dll ./release/paddle2onnx.dll
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${PADDLE_DIR}/paddle/lib/${PADDLE_LIB_NAME}.dll ./release/${PADDLE_LIB_NAME}.dll
)
endif()
2.改后
cmake_minimum_required(VERSION 3.5)
set(CMAKE_BUILD_TYPE "Release") #option: Debug / Release
if (CMAKE_BUILD_TYPE MATCHES "Debug"
OR CMAKE_BUILD_TYPE MATCHES "None")
message(STATUS "CMAKE_BUILD_TYPE is Debug")
elseif (CMAKE_BUILD_TYPE MATCHES "Release")
message(STATUS "CMAKE_BUILD_TYPE is Release")
endif()
# 设置c++标准
set(CMAKE_CXX_STANDARD 20)
project(DsYolo)
set(CMAKE_WINDOWS_EXPORT_ALL_SYMBOLS ON)
option(WITH_MKL "Compile demo with MKL/OpenBlas support, default use MKL." ON)
option(WITH_GPU "Compile demo with GPU/CPU, default use CPU." ON)
option(WITH_STATIC_LIB "Compile demo with static/shared library, default use static." ON)
option(WITH_TENSORRT "Compile demo with TensorRT." ON)
macro(safe_set_static_flag)
foreach(flag_var
CMAKE_CXX_FLAGS CMAKE_CXX_FLAGS_DEBUG CMAKE_CXX_FLAGS_RELEASE
CMAKE_CXX_FLAGS_MINSIZEREL CMAKE_CXX_FLAGS_RELWITHDEBINFO)
if(${flag_var} MATCHES "/MD")
string(REGEX REPLACE "/MD" "/MT" ${flag_var} "${${flag_var}}")
endif(${flag_var} MATCHES "/MD")
endforeach(flag_var)
endmacro()
if (WITH_MKL)
ADD_DEFINITIONS(-DUSE_MKL)
endif()
if (MSVC)
add_definitions(-w)
#add_definitions(-W0)
endif()
if (WIN32)
add_definitions("/DGOOGLE_GLOG_DLL_DECL=")
set(CMAKE_C_FLAGS /source-charset:utf-8)
add_definitions(-D_CRT_SECURE_NO_WARNINGS)
add_definitions(-D_CRT_NONSTDC_NO_DEPRECATE)
if(WITH_MKL)
set(FLAG_OPENMP "/openmp")
endif()
set(CMAKE_C_FLAGS_DEBUG "${CMAKE_C_FLAGS_DEBUG} /bigobj /MTd ${FLAG_OPENMP}")
set(CMAKE_C_FLAGS_RELEASE "${CMAKE_C_FLAGS_RELEASE} /bigobj /MT ${FLAG_OPENMP}")
set(CMAKE_CXX_FLAGS_DEBUG "${CMAKE_CXX_FLAGS_DEBUG} /bigobj /MTd ${FLAG_OPENMP}")
set(CMAKE_CXX_FLAGS_RELEASE "${CMAKE_CXX_FLAGS_RELEASE} /bigobj /MT ${FLAG_OPENMP}")
if (WITH_STATIC_LIB)
safe_set_static_flag()
add_definitions(-DSTATIC_LIB)
endif()
message("cmake c debug flags " ${CMAKE_C_FLAGS_DEBUG})
message("cmake c release flags " ${CMAKE_C_FLAGS_RELEASE})
message("cmake cxx debug flags " ${CMAKE_CXX_FLAGS_DEBUG})
message("cmake cxx release flags " ${CMAKE_CXX_FLAGS_RELEASE})
endif()
# 头文件
include_directories(${PROJECT_SOURCE_DIR}/include)
#include_directories(/home/nvidia/paddleOCR/PaddleOCR-release-2.6/deploy/cpp_infer/include)
#include_directories(/home/nvidia/paddleOCR/PaddleOCR-release-2.6/deploy/cpp_infer)
#include_directories(/usr/include)
include_directories(./)
include_directories(./include)
include_directories(./Ds_inference/opencv410/include/opencv4)
include_directories(./Ds_inference/opencv410/include/opencv4/opencv2)
include_directories(./Ds_inference/third_party/install/mklml/include)
include_directories(./Ds_inference/third_party/install/mkldnn/include)
include_directories(./Ds_inference/third_party/install/glog/include)
include_directories(./Ds_inference/third_party/AutoLog-main)
include_directories(./Ds_inference/third_party/install/gflags/include)
include_directories(./Ds_inference/third_party/install/protobuf/include)
include_directories(./Ds_inference/third_party/threadpool)
include_directories(./Ds_inference/third_party/yaml-cpp)
include_directories(./Ds_inference/paddle_gpu11.6/include)
# 库文件
#link_directories(/usr/lib)
link_directories(./Ds_inference/third_party/install/mklml/lib)
link_directories(./Ds_inference/third_party/install/mkldnn/lib)
link_directories(./Ds_inference/third_party/install/glog/lib)
link_directories(./Ds_inference/opencv410/lib)
link_directories(./Ds_inference/third_party/install/protobuf/lib)
link_directories(./Ds_inference/third_party/install/gflags/lib)
link_directories(./Ds_inference/paddle_gpu11.6/lib)
link_directories(./Ds_inference/third_party/yaml-cpp/lib)
aux_source_directory (src SRC_LIST)
add_executable (yoloV5 ${SRC_LIST})
set(LIBRARY_OUTPUT_PATH ${PROJECT_SOURCE_DIR}/bin)
set(output)
target_link_libraries(yoloV5
opencv_world410
#opencv_highgui opencv_core opencv_imgproc opencv_imgcodecs opencv_calib3d opencv_features2d opencv_videoio
paddle_inference mklml libiomp5md mkldnn glog gflags_static libprotobuf libcmt shlwapi yaml-cpp
)
# 注意测试
set (EXECUTABLE_OUTPUT_PATH ${PROJECT_SOURCE_DIR}/bin)
四.(windows平台)创造一个文件夹将生成可执行文件需要的库放入
需要用到gpu,就需要事先配置好cuda这一套的环境变量,就不用在cmakelists里面专门写来引用了,配置方法见http://t.csdn.cn/mgIMD
五.编译的时候遇到的bug
1.xxx已经在obj中定义
这三个关于main的cpp中只能同事存在一个,看自己需要那个,将不需要的文件里面代码全部注释,,我是使用了main.cpp,反正遇到这种报错通常把一些东西注释掉就能解决
2.error C7555: … requires at least ‘/std:c++latest’ when build in Win10
意思是c++版本低了
找到cmakelists这句函数,然后我发现我之前写的是17,我改成20之后完美解决。
3.fatal error C1083: 无法打开包括文件: “yaml-cpp/yaml.h”: No such file or directory
其实源cmakelists中是套了一个include(cmake/yaml-cpp.cmake),来编译
find_package(Git REQUIRED)
include(ExternalProject)
message("${CMAKE_BUILD_TYPE}")
ExternalProject_Add(
ext-yaml-cpp
URL https://bj.bcebos.com/paddlex/deploy/deps/yaml-cpp.zip
URL_MD5 9542d6de397d1fbd649ed468cb5850e6
CMAKE_ARGS
-DYAML_CPP_BUILD_TESTS=OFF
-DYAML_CPP_BUILD_TOOLS=OFF
-DYAML_CPP_INSTALL=OFF
-DYAML_CPP_BUILD_CONTRIB=OFF
-DMSVC_SHARED_RT=OFF
-DBUILD_SHARED_LIBS=OFF
-DCMAKE_BUILD_TYPE=${CMAKE_BUILD_TYPE}
-DCMAKE_CXX_FLAGS=${CMAKE_CXX_FLAGS}
-DCMAKE_CXX_FLAGS_DEBUG=${CMAKE_CXX_FLAGS_DEBUG}
-DCMAKE_CXX_FLAGS_RELEASE=${CMAKE_CXX_FLAGS_RELEASE}
-DCMAKE_LIBRARY_OUTPUT_DIRECTORY=${CMAKE_BINARY_DIR}/ext/yaml-cpp/lib
-DCMAKE_ARCHIVE_OUTPUT_DIRECTORY=${CMAKE_BINARY_DIR}/ext/yaml-cpp/lib
PREFIX "${CMAKE_BINARY_DIR}/ext/yaml-cpp"
# Disable install step
INSTALL_COMMAND ""
LOG_DOWNLOAD ON
LOG_BUILD 1
)
我还是想自己来编译,因为根据之前的经验,这种需要远程下载源码的总是有这样那样的问题。
下载源码
https://github.com/jbeder/yaml-cpp
我以为只是缺少头文件,cmakelists里面补上之后
出现无法解析的外部符号,大概率是缺少库,然后我去编译yaml-cpp的库。
就是很常规的操作,用cmake … 直接就编译出了一个lib库,很顺利,但是使用的时候显示无法打开此lib
我再重新生成找原因
注意到这一句Defining YAML_CPP_API for DLL import,然后我搜索这个关键词,搜到了https://blog.csdn.net/m0_37833142/article/details/115180471,
即在cmake后多加了一个参数,就成功可以正常调用了,到底是什么原理,我还得继续学习
cmake -DYAML_BUILD_SHARED_LIBS=ON ..
六.下载模型测试
下载地址:
https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.5/docs/feature_models/PaddleYOLO_MODEL.md
里面有yolo一系列的库
在部署模型里面选择模型下载,左边导出后的权重那些模型是paddle框架的paddle格式模型,右边onnx指onnx格式模型,_nms表示带NMS后处理,可以直接使用预测出最终检测框结果如python deploy/python/infer.py --model_dir=ppyoloe_crn_l_300e_coco_w_nms/ --image_file=demo/000000014439.jpg --device=GPU;wo_nms表示不带NMS后处理,是测速时使用
六.改源码
改main.cpp中的这些参数,改成自己装图片和模型的地址
注意这个参数的值不要改,它的备注显示这个参数已经被废弃,写成true会停止运行
七.添加dll到exe目录
如果exe文件同一目录没有加需要的动态库,会直接报错,由于找不到 paddle inference.dll,无法继续执行代码。重新安装程序可能会
解决此问题,这种问题很简单解决,直接缺啥补啥就行
按照提示补好了的dll库是这样
然后再次运行
报错应用程序无法正常启动(0xc000007b)。请单击”确定”关闭应用程序,这样就很难弄了,不知道到底缺的是什么,但是可以说出现这种问题还是缺库
if (WIN32 AND WITH_MKL)
add_custom_command(TARGET main POST_BUILD
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${PADDLE_DIR}/third_party/install/mklml/lib/mklml.dll ./mklml.dll
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${PADDLE_DIR}/third_party/install/mklml/lib/libiomp5md.dll ./libiomp5md.dll
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${PADDLE_DIR}/third_party/install/mkldnn/lib/mkldnn.dll ./mkldnn.dll
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${PADDLE_DIR}/third_party/install/mklml/lib/mklml.dll ./release/mklml.dll
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${PADDLE_DIR}/third_party/install/mklml/lib/libiomp5md.dll ./release/libiomp5md.dll
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${PADDLE_DIR}/third_party/install/mkldnn/lib/mkldnn.dll ./release/mkldnn.dll
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${PADDLE_DIR}/paddle/lib/${PADDLE_LIB_NAME}.dll ./release/${PADDLE_LIB_NAME}.dll
)
endif()
if (WIN32 AND NOT WITH_MKL)
add_custom_command(TARGET main POST_BUILD
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${PADDLE_DIR}/third_party/install/openblas/lib/openblas.dll ./openblas.dll
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${PADDLE_DIR}/third_party/install/openblas/lib/openblas.dll ./release/openblas.dll
)
endif()
if (WIN32)
add_custom_command(TARGET main POST_BUILD
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${PADDLE_DIR}/third_party/install/onnxruntime/lib/onnxruntime.dll ./onnxruntime.dll
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${PADDLE_DIR}/third_party/install/paddle2onnx/lib/paddle2onnx.dll ./paddle2onnx.dll
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${PADDLE_DIR}/third_party/install/onnxruntime/lib/onnxruntime.dll ./release/onnxruntime.dll
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${PADDLE_DIR}/third_party/install/paddle2onnx/lib/paddle2onnx.dll ./release/paddle2onnx.dll
COMMAND ${CMAKE_COMMAND} -E copy_if_different ${PADDLE_DIR}/paddle/lib/${PADDLE_LIB_NAME}.dll ./release/${PADDLE_LIB_NAME}.dll
)
endif()
在原cmakelists里面找到了玄机。这些都是可执行文件需要的dll
如果懒得看原代码,有个非常简单的方法
直接在这个项目依赖的第三方库里面找dll文件,全部放到exe同一文件夹就可以
bug记录
由于我下载模型的时候下载错了,只下载了一个pdparams文件,但是很无语的时候并不会有任何报错,只会运行完就停止了,没有报任何异常,看这个object_detector.cpp代码里只有函数实现,没有类实现,真的很奇怪,不知道如何排查哪里出的问题,后来我发现这个类实现在了头文件里,排查到了是我模型的原因。
打注释小窍门
在前面定义这个,然后在需要打印的地方直接输Dlog(你想打印的内容)就可以直接打印。不用每次都cout,endl
#define Dlog(x) std::cout<<x<<std::endl
查bug小窍门
exe文件运行后无输出直接闪退如何找解决办法
搜索栏搜事件查看器
找到错误处
点开有错误的详细信息,直接用搜索引擎搜索这个异常代码能大致判断是什么问题,给了一个解决思路,不至于不知道到底哪里出了问题