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CMakeLists.txt
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CMakeLists.txt
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cmake_minimum_required(VERSION 2.6)
project(pro)
add_definitions(-std=c++11)
option(CUDA_USE_STATIC_CUDA_RUNTIME OFF)
set(CMAKE_CXX_STANDARD 11)
set(CMAKE_BUILD_TYPE Debug)
set(EXECUTABLE_OUTPUT_PATH ${PROJECT_SOURCE_DIR}/workspace)
set(HAS_PYTHON ON)
# 如果要支持python则设置python路径
set(PythonRoot "/data/datav/newbb/lean/anaconda3/envs/torch1.8")
set(PythonName "python3.9")
# 如果你是不同显卡,请设置为显卡对应的号码参考这里:https://developer.nvidia.com/zh-cn/cuda-gpus#compute
set(CUDA_GEN_CODE "-gencode=arch=compute_75,code=sm_75")
# 如果你的opencv找不到,可以自己指定目录
set(OpenCV_DIR "/data/datav/expstation/lean/opencv4.2.0/lib/cmake/opencv4/")
set(CUDA_DIR "/data/sxai/lean/cuda-10.2")
set(CUDNN_DIR "/data/sxai/lean/cudnn8.2.2.26")
set(TENSORRT_DIR "/data/sxai/lean/TensorRT-8.0.1.6-cuda10.2-cudnn8.2")
# set(CUDA_DIR "/data/sxai/lean/cuda-10.2")
# set(CUDNN_DIR "/data/sxai/lean/cudnn7.6.5.32-cuda10.2")
# set(TENSORRT_DIR "/data/sxai/lean/TensorRT-7.0.0.11")
# set(CUDA_DIR "/data/sxai/lean/cuda-11.1")
# set(CUDNN_DIR "/data/sxai/lean/cudnn8.2.2.26")
# set(TENSORRT_DIR "/data/sxai/lean/TensorRT-7.2.1.6")
# 因为protobuf,需要用特定版本,所以这里指定路径
set(PROTOBUF_DIR "/data/sxai/lean/protobuf3.11.4")
find_package(CUDA REQUIRED)
find_package(OpenCV)
include_directories(
${PROJECT_SOURCE_DIR}/src
${PROJECT_SOURCE_DIR}/src/application
${PROJECT_SOURCE_DIR}/src/tensorRT
${PROJECT_SOURCE_DIR}/src/tensorRT/common
${OpenCV_INCLUDE_DIRS}
${CUDA_DIR}/include
${PROTOBUF_DIR}/include
${TENSORRT_DIR}/include
${CUDNN_DIR}/include
)
# 切记,protobuf的lib目录一定要比tensorRT目录前面,因为tensorRTlib下带有protobuf的so文件
# 这可能带来错误
link_directories(
${PROTOBUF_DIR}/lib
${TENSORRT_DIR}/lib
${CUDA_DIR}/lib64
${CUDNN_DIR}/lib
)
if("${HAS_PYTHON}" STREQUAL "ON")
message("Usage Python ${PythonRoot}")
include_directories(${PythonRoot}/include/${PythonName})
link_directories(${PythonRoot}/lib)
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -DHAS_PYTHON")
endif()
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++11 -Wall -O0 -Wfatal-errors -pthread -w -g")
set(CUDA_NVCC_FLAGS "${CUDA_NVCC_FLAGS} -std=c++11 -O0 -Xcompiler -fPIC -g -w ${CUDA_GEN_CODE}")
file(GLOB_RECURSE cpp_srcs ${PROJECT_SOURCE_DIR}/src/*.cpp)
file(GLOB_RECURSE cuda_srcs ${PROJECT_SOURCE_DIR}/src/*.cu)
cuda_add_library(plugin_list SHARED ${cuda_srcs})
add_executable(pro ${cpp_srcs})
# 如果提示插件找不到,请使用dlopen(xxx.so, NOW)的方式手动加载可以解决插件找不到问题
target_link_libraries(pro nvinfer nvinfer_plugin)
target_link_libraries(pro cuda cublas cudart cudnn)
target_link_libraries(pro protobuf pthread plugin_list)
target_link_libraries(pro ${OpenCV_LIBS})
if("${HAS_PYTHON}" STREQUAL "ON")
set(LIBRARY_OUTPUT_PATH ${PROJECT_SOURCE_DIR}/python/trtpy)
add_library(trtpyc SHARED ${cpp_srcs})
target_link_libraries(trtpyc nvinfer nvinfer_plugin)
target_link_libraries(trtpyc cuda cublas cudart cudnn)
target_link_libraries(trtpyc protobuf pthread plugin_list)
target_link_libraries(trtpyc ${OpenCV_LIBS})
target_link_libraries(trtpyc "${PythonName}")
target_link_libraries(pro "${PythonName}")
endif()
add_custom_target(
yolo
DEPENDS pro
WORKING_DIRECTORY ${PROJECT_SOURCE_DIR}/workspace
COMMAND ./pro yolo
)
add_custom_target(
yolo_fast
DEPENDS pro
WORKING_DIRECTORY ${PROJECT_SOURCE_DIR}/workspace
COMMAND ./pro yolo_fast
)
add_custom_target(
centernet
DEPENDS pro
WORKING_DIRECTORY ${PROJECT_SOURCE_DIR}/workspace
COMMAND ./pro centernet
)
add_custom_target(
alphapose
DEPENDS pro
WORKING_DIRECTORY ${PROJECT_SOURCE_DIR}/workspace
COMMAND ./pro alphapose
)
add_custom_target(
retinaface
DEPENDS pro
WORKING_DIRECTORY ${PROJECT_SOURCE_DIR}/workspace
COMMAND ./pro retinaface
)
add_custom_target(
dbface
DEPENDS pro
WORKING_DIRECTORY ${PROJECT_SOURCE_DIR}/workspace
COMMAND ./pro dbface
)
add_custom_target(
arcface
DEPENDS pro
WORKING_DIRECTORY ${PROJECT_SOURCE_DIR}/workspace
COMMAND ./pro arcface
)
add_custom_target(
bert
DEPENDS pro
WORKING_DIRECTORY ${PROJECT_SOURCE_DIR}/workspace
COMMAND ./pro bert
)
add_custom_target(
fall
DEPENDS pro
WORKING_DIRECTORY ${PROJECT_SOURCE_DIR}/workspace
COMMAND ./pro fall_recognize
)
add_custom_target(
scrfd
DEPENDS pro
WORKING_DIRECTORY ${PROJECT_SOURCE_DIR}/workspace
COMMAND ./pro scrfd
)
add_custom_target(
lesson
DEPENDS pro
WORKING_DIRECTORY ${PROJECT_SOURCE_DIR}/workspace
COMMAND ./pro lesson
)
add_custom_target(
pyscrfd
DEPENDS trtpyc
WORKING_DIRECTORY ${PROJECT_SOURCE_DIR}/python
COMMAND python test_scrfd.py
)
add_custom_target(
pyinstall
DEPENDS trtpyc
WORKING_DIRECTORY ${PROJECT_SOURCE_DIR}/python
COMMAND python setup.py install
)
add_custom_target(
pytorch
DEPENDS trtpyc
WORKING_DIRECTORY ${PROJECT_SOURCE_DIR}/python
COMMAND python test_torch.py
)
add_custom_target(
pycenternet
DEPENDS trtpyc
WORKING_DIRECTORY ${PROJECT_SOURCE_DIR}/python
COMMAND python test_centernet.py
)