文章目录
- 1. 准备工作
- 2. 编译
- cmake构建程序
- mingw32-make编译
- 3. 安装
- 4. 安装完的结果
注意：
mingw32-make编译的库和MSVC编译的库不兼容，MSVC和mingw-make生成的动态库使用的是不同的ABI（Application Binary Interface），不能混合使用由这两个编译器生成的库。例如，如果你的程序使用了由MSVC编译的库，那么你的程序也必须使用MSVC来编译。另外mingw32-make编译的库的库文件是.a后缀，MSVC编译的库的库文件是.lib。
1. 准备工作
-
安装cmake
参考 -
安装mingw32
参考 -
下载opencv源码
下载地址：https://codeload.github.com/opencv/opencv/zip/refs/tags/4.6.0
下载后解压。
2. 编译
cmake构建程序
- 进入opencv源码目录
- 新建build目录
- 进入build目录
- 执行cmake命令
D:\myApp\opencv460\opencv-4.6.0>mkdir build
D:\myApp\opencv460\opencv-4.6.0>cd build
D:\myApp\opencv460\opencv-4.6.0\build>cmake .. -G "MinGW Makefiles" -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=D:\myApp\opencv460\opencv-4.6.0\build -D BUILD_opencv_world=ON
-- The CXX compiler identification is GNU 13.2.0
-- The C compiler identification is GNU 13.2.0
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Check for working CXX compiler: D:/myApp/mingw64/bin/c++.exe - skipped
-- Detecting CXX compile features
-- Detecting CXX compile features - done
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Check for working C compiler: D:/myApp/mingw64/bin/gcc.exe - skipped
-- Detecting C compile features
-- Detecting C compile features - done
-- ocv_init_download: OpenCV source tree is not fetched as git repository. 3rdparty resources will be downloaded from github.com by default.
-- Detected processor: AMD64
CMake Warning (dev) at cmake/OpenCVUtils.cmake:144 (find_package):
Policy CMP0148 is not set: The FindPythonInterp and FindPythonLibs modules
are removed. Run "cmake --help-policy CMP0148" for policy details. Use
the cmake_policy command to set the policy and suppress this warning.
Call Stack (most recent call first):
cmake/OpenCVDetectPython.cmake:64 (find_host_package)
cmake/OpenCVDetectPython.cmake:271 (find_python)
CMakeLists.txt:628 (include)
This warning is for project developers. Use -Wno-dev to suppress it.
-- Found PythonInterp: D:/myApp/anaconda3/python.exe (found suitable version "3.11.5", minimum required is "2.7")
CMake Warning at cmake/OpenCVDetectPython.cmake:81 (message):
CMake's 'find_host_package(PythonInterp 2.7)' found wrong Python version:
PYTHON_EXECUTABLE=D:/myApp/anaconda3/python.exe
PYTHON_VERSION_STRING=3.11.5
Consider providing the 'PYTHON2_EXECUTABLE' variable via CMake command line
or environment variables
Call Stack (most recent call first):
cmake/OpenCVDetectPython.cmake:271 (find_python)
CMakeLists.txt:628 (include)
。。。。。。。。。。。。。。。。。。。。
上面关键的指令是这一句:
cmake .. -G "MinGW Makefiles" -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=D:\myApp\opencv460\opencv-4.6.0\build -D BUILD_opencv_world=ON
解释一下：
- … 表示上一级目录，即opencv源码目录
- -G “MinGW Makefiles” 表示生成MinGW Makefiles工程
- -D CMAKE_BUILD_TYPE=RELEASE 表示编译类型为RELEASE
- -D CMAKE_INSTALL_PREFIX=D:\myApp\opencv460\opencv-4.6.0\build 表示安装目录
- -D BUILD_opencv_world=ON 表示编译opencv_world库
mingw32-make编译
- 执行mingw32-make命令
mingw32-make -j8
输出如下：
D:\myApp\opencv460\opencv-4.6.0\build>mingw32-make -j 8
[ 0%] Built target opencv_videoio_plugins
[ 0%] Building C object 3rdparty/openjpeg/openjp2/CMakeFiles/libopenjp2.dir/thread.c.obj
[ 0%] Built target opencv_highgui_plugins
[ 0%] Building CXX object CMakeFiles/ade.dir/3rdparty/ade/ade-0.1.1f/sources/ade/source/alloc.cpp.obj
[ 0%] Building C object 3rdparty/quirc/CMakeFiles/quirc.dir/src/decode.c.obj
[ 0%] Building C object 3rdparty/zlib/CMakeFiles/zlib.dir/adler32.c.obj
[ 0%] Building C object 3rdparty/libjpeg-turbo/CMakeFiles/libjpeg-turbo.dir/src/jcapimin.c.obj
[ 0%] Building C object 3rdparty/libwebp/CMakeFiles/libwebp.dir/src/dec/alpha_dec.c.obj
[ 0%] Building C object 3rdparty/openjpeg/openjp2/CMakeFiles/libopenjp2.dir/bio.c.obj
[ 0%] Building C object 3rdparty/quirc/CMakeFiles/quirc.dir/src/quirc.c.obj
note: -j8 表示8个线程编译，可以根据自己的电脑配置来设置。
如果报错如下
D:/myApp/opencv460/opencv-4.6.0/build/3rdparty/ade/ade-0.1.1f/sources/ade/include/ade/typed_graph.hpp:101:10: error:
'uintptr_t' in namespace 'std' does not name a type
101 | std::uintptr_t m_srcGraph;
| ^~~~~~~~~
D:/myApp/opencv460/opencv-4.6.0/build/3rdparty/ade/ade-0.1.1f/sources/ade/include/ade/typed_graph.hpp:22:1: note: 'std::uintptr_t' is defined in header '<cstdint>'; did you forget to '#include <cstdint>'?
21 | #include "typed_metadata.hpp"
+++ |+#include <cstdint>
这是因为ade库用到了std::uintptr_t，std::uintptr_t在cstdint头文件中。但是它没有包含cstdint头文件，需要手动添加。（编译报错的提示还是很有用的）
3. 安装
mingw32-make install
D:\myApp\opencv460\opencv-4.6.0\build>mingw32-make install
[ 0%] Built target opencv_highgui_plugins
[ 2%] Built target libopenjp2
[ 2%] Built target opencv_videoio_plugins
[ 3%] Built target zlib
[ 9%] Built target opencv_core
[ 15%] Built target opencv_imgproc
[ 18%] Built target libjpeg-turbo
[ 25%] Built target libwebp
[ 28%] Built target libtiff
[ 29%] Built target libpng
[ 35%] Built target IlmImf
[ 36%] Built target opencv_imgcodecs
[ 37%] Built target opencv_videoio
[ 37%] Built target opencv_highgui
[ 37%] Built target opencv_ts
[ 40%] Built target opencv_test_core
[ 42%] Built target opencv_perf_core
[ 42%] Built target opencv_flann
[ 42%] Built target opencv_test_flann
[ 46%] Built target opencv_test_imgproc
[ 48%] Built target opencv_perf_imgproc
[ 49%] Built target opencv_ml
[ 50%] Built target opencv_test_ml
[ 51%] Built target opencv_photo
[ 52%] Built target opencv_test_photo
[ 53%] Built target opencv_perf_photo
[ 55%] Built target libprotobuf
[ 64%] Built target opencv_dnn
[ 65%] Built target opencv_test_dnn
[ 65%] Built target opencv_perf_dnn
[ 67%] Built target opencv_features2d
[ 68%] Built target opencv_test_features2d
[ 69%] Built target opencv_perf_features2d
[ 69%] Built target opencv_test_imgcodecs
[ 69%] Built target opencv_perf_imgcodecs
[ 70%] Built target opencv_test_videoio
[ 70%] Built target opencv_perf_videoio
[ 73%] Built target opencv_calib3d
[ 75%] Built target opencv_test_calib3d
[ 76%] Built target opencv_perf_calib3d
[ 76%] Built target opencv_test_highgui
[ 77%] Built target quirc
[ 78%] Built target opencv_objdetect
[ 78%] Built target opencv_test_objdetect
[ 78%] Built target opencv_perf_objdetect
[ 79%] Built target opencv_stitching
[ 79%] Built target opencv_test_stitching
[ 79%] Built target opencv_perf_stitching
[ 80%] Built target opencv_video
[ 81%] Built target opencv_test_video
[ 82%] Built target opencv_perf_video
[ 83%] Built target ade
[ 91%] Built target opencv_gapi
[ 97%] Built target opencv_test_gapi
[ 98%] Built target opencv_perf_gapi
[ 98%] Built target gen_opencv_python_source
[ 99%] Built target opencv_python3
[ 99%] Built target opencv_annotation
[ 99%] Built target opencv_visualisation
[ 99%] Built target opencv_interactive-calibration
[100%] Built target opencv_version
[100%] Built target opencv_version_win32
[100%] Built target opencv_model_diagnostics
Install the project...
-- Install configuration: "Release"
-- Installing: D:/myApp/opencv460/opencv-4.6.0/build/install/etc/licenses/opencl-headers-LICENSE.txt
-- Installing: D:/myApp/opencv460/opencv-4.6.0/build/install/etc/licenses/ade-LICENSE
-- Installing: D:/myApp/opencv460/opencv-4.6.0/build/install/etc/licenses/ffmpeg-license.txt
-- Installing: D:/myApp/opencv460/opencv-4.6.0/build/install/etc/licenses/ffmpeg-readme.txt
-- Installing: D:/myApp/opencv460/opencv-4.6.0/build/install/include/opencv2/cvconfig.h
-- Installing: D:/myApp/opencv460/opencv-4.6.0/build/install/include/opencv2/opencv_modules.hpp
-- Installing: D:/myApp/opencv460/opencv-4.6.0/build/install/x64/mingw/lib/OpenCVModules.cmake
-- Installing: D:/myApp/opencv460/opencv-4.6.0/build/install/x64/mingw/lib/OpenCVModules-release.cmake
-- Installing: D:/myApp/opencv460/opencv-4.6.0/build/install/x64/mingw/lib/OpenCVConfig-version.cmake
-- Installing: D:/myApp/opencv460/opencv-4.6.0/build/install/x64/mingw/lib/OpenCVConfig.cmake
-- Installing: D:/myApp/opencv460/opencv-4.6.0/build/install/./OpenCVConfig-version.cmake
-- Installing: D:/myApp/opencv460/opencv-4.6.0/build/install/./OpenCVConfig.cmake
-- Installing: D:/myApp/opencv460/opencv-4.6.0/build/install/./LICENSE
-- Installing: D:/myApp/opencv460/opencv-4.6.0/build/install/./setup_vars_opencv4.cmd
-- Installing: D:/myApp/opencv460/opencv-4.6.0/build/install/etc/licenses/zlib-README
-- Installing: D:/myApp/opencv460/opencv-4.6.0/build/install/etc/licenses/libjpeg-turbo-README.md
-- Installing: D:/myApp/opencv460/opencv-4.6.0/build/install/etc/licenses/libjpeg-turbo-LICENSE.md
-- Installing: D:/myApp/opencv460/opencv-4.6.0/build/install/etc/licenses/libjpeg-turbo-README.ijg
-- Installing: D:/myApp/opencv460/opencv-4.6.0/build/install/etc/licenses/libtiff-COPYRIGHT
-- Installing: D:/myApp/opencv460/opencv-4.6.0/build/install/etc/licenses/libopenjp2-README.md
-- Installing: D:/myApp/opencv460/opencv-4.6.0/build/install/etc/licenses/libopenjp2-LICENSE
-- Installing: D:/myApp/opencv460/opencv-4.6.0/build/install/etc/licenses/libpng-LICENSE
-- Installing: D:/myApp/opencv460/opencv-4.6.0/build/install/etc/licenses/libpng-README
-- Installing: D:/myApp/opencv460/opencv-4.6.0/build/install/etc/licenses/openexr-LICENSE
-- Installing: D:/myApp/opencv460/opencv-4.6.0/build/install/etc/licenses/openexr-AUTHORS.ilmbase
-- Installing: D:/myApp/opencv460/opencv-4.6.0/build/install/etc/licenses/openexr-AUTHORS.openexr
4. 安装完的结果
