* Update yolov5.cpp implement upsample with IResizeLayer * Update yolov5.cpp repair mistake and test it * add FasterRcnn(R50C4) maskrcnn is working * add FasterRcnn(R50C4) adjust indent * update README adjust coding style
40 lines
1.3 KiB
CMake
40 lines
1.3 KiB
CMake
cmake_minimum_required(VERSION 2.6)
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project(rcnn)
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add_definitions(-std=c++11)
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option(CUDA_USE_STATIC_CUDA_RUNTIME OFF)
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set(CMAKE_CXX_STANDARD 11)
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set(CMAKE_BUILD_TYPE Debug)
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set(CUDA_NVCC_FLAGS ${CUDA_NVCC_FLAGS};--extended-lambda)
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find_package(CUDA REQUIRED)
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include_directories(${PROJECT_SOURCE_DIR}/include)
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# include and link dirs of cuda and tensorrt, you need adapt them if yours are different
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# cuda
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include_directories(/usr/local/cuda-10.2/include)
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link_directories(/usr/local/cuda-10.2/lib64)
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# tensorrt
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include_directories(/home/jushi/TensorRT-7.0.0.11/include)
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link_directories(/home/jushi/TensorRT-7.0.0.11/lib)
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set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++11 -Wall -Ofast -Wfatal-errors -D_MWAITXINTRIN_H_INCLUDED")
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cuda_add_library(myplugins SHARED ${PROJECT_SOURCE_DIR}/BatchedNms.cu ${PROJECT_SOURCE_DIR}/PredictorDecode.cu ${PROJECT_SOURCE_DIR}/RoiAlign.cu ${PROJECT_SOURCE_DIR}/RpnDecode.cu ${PROJECT_SOURCE_DIR}/RpnNms.cu)
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target_link_libraries(myplugins nvinfer cudart)
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find_package(OpenCV)
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include_directories(${OpenCV_INCLUDE_DIRS})
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add_executable(rcnn ${PROJECT_SOURCE_DIR}/rcnn.cpp)
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target_link_libraries(rcnn nvinfer)
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target_link_libraries(rcnn cudart)
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target_link_libraries(rcnn myplugins)
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target_link_libraries(rcnn ${OpenCV_LIBS})
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add_definitions(-O2 -pthread)
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