在 ROS 包中使用自定义 OpenCV 安装答案

【问题标题】：Use custom OpenCV install in ROS package在 ROS 包中使用自定义 OpenCV 安装
【发布时间】：2019-03-15 13:44:15
【问题描述】：

我正在尝试构建一个 ROS 包，我在其中使用启用了 CUDA 的自定义 OpenCV 3.4 安装。 /usr/local 中的 OpenCV 安装工作正常，我可以使用 GPU 文件夹构建和运行示例，没有问题

g++ -o houghlines houghlines.cpp `pkg-config opencv --cflags --libs`

但是，我无法让 catkin 使用我安装的 OpenCV，而不是 ROS 附带的那个。这是我的 CMakeLists.txt：

cmake_minimum_required(VERSION 2.8.3)
project(motion_segmentation_cuda)

set(CMAKE_CUDA_COMPILER  /usr/local/cuda-9.1/bin/nvcc)
find_package(catkin_simple REQUIRED)

set(OpenCV_INCLUDE_DIRS
  /usr/local/include
  /usr/local/include/opencv2
)
set(OpenCV_LIB_DIR
  /usr/local/lib
)
set(OpenCV_LIBS
  opencv_core
  opencv_highgui
  opencv_imgcodecs
)
include_directories(${OpenCV_INCLUDE_DIRS})

find_package(CUDA REQUIRED)
catkin_simple()

#Here you can set any gcc/cmake compiler flags, if you so wish
SET(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++11 -O3")
link_directories(${OpenCV_LIB_DIR})

#Add all of your sources here
cuda_add_executable(
  cuda_test_cu
  src/main.cpp
  src/motion_segmenter.cpp
  src/kernel.cu
  src/segmenter.cpp
)

#Link the executable to the necessary libs
target_link_libraries(
   cuda_test_cu
   ${catkin_LIBRARIES}
   ${OpenCV_LIBS}
   ${CUDA_LIBRARIES}
)

# CMake Indexing
FILE(GLOB_RECURSE LibFiles "include/*")
add_custom_target(headers SOURCES ${LibFiles})

cs_install()

根据各种论坛的建议，我也尝试过

export CMAKE_PREFIX_PATH="/usr/lib/:$CMAKE_PREFIX_PATH"
export LD_LIBRARY_PATH="/usr/lib/:$LD_LIBRARY_PATH"

CMakeLists 中还有无数的调整。我的包编译得很好！但最后，我不可避免地得到：

OpenCV Error: No CUDA support (The library is compiled without CUDA support) in throw_no_cuda, file /tmp/binarydeb/ros-kinetic-opencv3-3.3.1/modules/core/include/opencv2/core/private.cuda.hpp, line 107

只要我尝试实际使用任何支持 GPU 的 OpenCV 类。

非常感谢！

【问题讨论】：

标签： cmake opencv3.0 ros catkin

【解决方案1】：

为了回答你的问题，在我之前，这个 CMakeLists.txt 有效（出于某种原因）：

cmake_minimum_required(VERSION 2.8.3)
project(motion_segmentation_cuda)

find_package(OpenCV 3.4 REQUIRED
  COMPONENTS
    opencv_core
    opencv_highgui
    opencv_imgproc
    opencv_imgcodecs
  PATHS /usr/local
  NO_DEFAULT_PATH
  CONFIG
)

set(CMAKE_CUDA_COMPILER  /usr/local/cuda-9.1/bin/nvcc)
find_package(catkin_simple REQUIRED)
find_package(CUDA REQUIRED)
catkin_simple()

#Here you can set any gcc/cmake compiler flags, if you so wish
SET(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++11 -O3")

include_directories(include ${OpenCV_INCLUDE_DIRS} ${catkin_INCLUDE_DIRS})

#Add all of your sources here
cuda_add_executable(
  cuda_test_cu
  src/main.cpp
  src/motion_segmenter.cpp
  src/kernel.cu
  src/segmenter.cpp
)

#Link the executable to the necessary libs
target_link_libraries(
   cuda_test_cu
   ${catkin_LIBRARIES}
   ${OpenCV_LIBS}
   ${CUDA_LIBRARIES}
)

# CMake Indexing
FILE(GLOB_RECURSE LibFiles "include/*")
add_custom_target(headers SOURCES ${LibFiles})

cs_install()

最后不用改.bashrc...

【讨论】：