CMakeLists.txt

cmake_minimum_required(VERSION 2.6)
project(pro)

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)

# 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(NVDEC_DIR    "/data/sxai/lean/Video_Codec_SDK_10.0.26")
set(FFMPEG_DIR   "/data/sxai/lean/ffmpeg4.2")

# 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
    ${NVDEC_DIR}/Interface
    ${FFMPEG_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
    ${NVDEC_DIR}/Lib/linux/stubs/x86_64
    ${FFMPEG_DIR}/lib
)

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 nvcuvid nvidia-encode)
target_link_libraries(pro protobuf pthread plugin_list)
target_link_libraries(pro avcodec avformat avresample swscale avutil)
target_link_libraries(pro ${OpenCV_LIBS})

add_custom_target(
    yolo
    DEPENDS pro
    WORKING_DIRECTORY ${PROJECT_SOURCE_DIR}/workspace
    COMMAND ./pro yolo
)

add_custom_target(
    demuxer
    DEPENDS pro
    WORKING_DIRECTORY ${PROJECT_SOURCE_DIR}/workspace
    COMMAND ./pro demuxer
)

add_custom_target(
    hard_decode
    DEPENDS pro
    WORKING_DIRECTORY ${PROJECT_SOURCE_DIR}/workspace
    COMMAND ./pro hard_decode
)