yolov8 dll 编译

1. 每次用yolo v8 都要用python ，对于我这种写软件的太不方便了，下面尝试编译dll 调用, 我已经有做好的模型.best.pt

参考视频方法:

yolov8 TensorRT C++ 部署_哔哩哔哩_bilibili

【yolov8】tensorrt部署保姆级教程，c++版_哔哩哔哩_bilibili

需要工具:

1.vs2019
2.tensorRt 8.0+

3.opencv 4.0+

TensorRt的链接: GitHub - wang-xinyu/tensorrtx: Implementation of popular deep learning networks with TensorRT network definition API

TensorRt官方下载

https://developer.nvidia.com/nvidia-tensorrt-8x-download

opencv 我之前就已经编译好了 , 自行编译

cmake list:

cmake_minimum_required(VERSION 3.10)

project(yolov8)

add_definitions(-std=c++11)
add_definitions(-DAPI_EXPORTS)
set(CMAKE_CXX_STANDARD 11)
set(CMAKE_BUILD_TYPE Debug)

set(CMAKE_CUDA_COMPILER C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.3\\bin\\nvcc)
enable_language(CUDA)

include_directories(${PROJECT_SOURCE_DIR}/include)
include_directories(${PROJECT_SOURCE_DIR}/plugin)

# include and link dirs of cuda and tensorrt, you need adapt them if yours are different
if (CMAKE_SYSTEM_PROCESSOR MATCHES "aarch64")
message("embed_platform on")
include_directories(C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.3\\include)
link_directories(C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.3\\lib\\x64)
else()
message("embed_platform off")
# cuda
include_directories(C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.3\\include)
link_directories(C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.3\\lib\\x64)

# tensorrt
include_directories(C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.3\\include)
link_directories(C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.3\\lib)
# include_directories(/home/lindsay/TensorRT-7.2.3.4/include)
# link_directories(/home/lindsay/TensorRT-7.2.3.4/lib)

endif()

add_library(myplugins SHARED ${PROJECT_SOURCE_DIR}/plugin/yololayer.cu)
target_link_libraries(myplugins nvinfer cudart)

find_package(OpenCV)
include_directories(${OpenCV_INCLUDE_DIRS})

file(GLOB_RECURSE SRCS ${PROJECT_SOURCE_DIR}/src/*.cpp ${PROJECT_SOURCE_DIR}/src/*.cu)
add_executable(yolov8_det ${PROJECT_SOURCE_DIR}/yolov8_det.cpp ${SRCS})

target_link_libraries(yolov8_det nvinfer)
target_link_libraries(yolov8_det cudart)
target_link_libraries(yolov8_det myplugins)
target_link_libraries(yolov8_det ${OpenCV_LIBS})

add_executable(yolov8_seg ${PROJECT_SOURCE_DIR}/yolov8_seg.cpp ${SRCS})
target_link_libraries(yolov8_seg nvinfer cudart myplugins ${OpenCV_LIBS})