我安装了两个opencv,一个在/ usr / local,另一个在/ usr。 因此/ usr / share / OpenCV具有Opencv2.4.10的OpencvConfig.cmake和/ usr / local / share / OpenCV具有Opencv3.1.0的OpencvConfig.cmake。 在我的项目cmake中,我将OPencv2.4.10的路径设置为
cmake_minimum_required(VERSION 2.8)
project(five-point-nister)
SET("OpenCV_DIR" "/usr/share/OpenCV")
find_package( OpenCV REQUIRED )
add_executable(five-point-nister
five-point.cpp precomp.cpp modelest.cpp)
target_link_libraries(five-point-nister ${OpenCV_LIBS})
但是当我编译项目时,该项目正试图链接到OPencv3.1.0并且错误是
In file included from /usr/local/include/opencv2/core.hpp:59:0,
from /usr/local/include/opencv2/calib3d.hpp:47,
from /usr/local/include/opencv2/calib3d/calib3d.hpp:48,
右边应该是/usr/include/opencv2
,但现在是/usr/local/include/opencv2
。所以我的项目仍然链接到Opencv3.1.0。
我该如何纠正?
感谢
答案 0 :(得分:2)
我猜你用apt-get install安装opencv,告诉我是不是错了。
首先显示opencvConfig.cmake变量,例如OpenCV_INCLUDE_DIRS或OpenCV_LIBS。
您可以使用此代码:
cmake_minimum_required(VERSION 2.8)
project(five-point-nister)
SET("OpenCV_DIR" "/usr/share/OpenCV")
find_package( OpenCV REQUIRED )
MESSAGE(STATUS "Include dirs ${OpenCV_INCLUDE_DIRS}")
MESSAGE(STATUS "LINK LIBRARIES ${OpenCV_LIBS}")
add_executable(five-point-nister
five-point.cpp precomp.cpp modelest.cpp)
target_link_libraries(five-point-nister ${OpenCV_LIBS})
这些变量位于OpencvConfig.cmake上,su as:
# This file will define the following variables:
# - OpenCV_LIBS : The list of all imported targets for OpenCV modules.
# - OpenCV_INCLUDE_DIRS : The OpenCV include directories.
# - OpenCV_COMPUTE_CAPABILITIES : The version of compute capability.
# - OpenCV_ANDROID_NATIVE_API_LEVEL : Minimum required level of Android API.
# - OpenCV_VERSION : The version of this OpenCV build: "2.4.9"
# - OpenCV_VERSION_MAJOR : Major version part of OpenCV_VERSION: "2"
# - OpenCV_VERSION_MINOR : Minor version part of OpenCV_VERSION: "4"
# - OpenCV_VERSION_PATCH : Patch version part of OpenCV_VERSION: "9"
# - OpenCV_VERSION_TWEAK : Tweak version part of OpenCV_VERSION: "0"
但是,我会推荐一些提示:
使用cmake-gui定义OPENCV_DIR目录,因为你的静态目录路径。
不要使用apt-get install openCV,有时候更新不够。
尝试编译opencv或下载预建文件http://opencv.org/downloads.html。
编译opencv并在您的应用项目中设置您之前编译的构建目录中的OPENCV_DIR。
干杯。