如何编译 opencv3 和 opencv |
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本文以编译并安装OpenCV 3.3.0 为例,安装系统为 Linux x64 (Fedora 21),具体步骤如下: 1. 下载 Source code zip 压缩包从下面网址,选择 opencv 3.3.0 Source code 下载 https://github.com/opencv/opencv/releases 从下面网址,选择下载与 opencv 3.3.0 对应的 opencv_contrib 3.3.0 https://github.com/opencv/opencv_contrib/releases 注意:opencv和opencv_contrib 版本必须保持一致,否则可能会出现编译错误。 2. 准备安装目录,并解压源码2.1 准备安装目录本人准备将 opencv 安装到 ~/libs/opencv-trunk/release/installed 目录,没有安装到默认目录,其好处,一是节省根目录空间(前提是 /home 和 / 不是一个分区);二是可以安装多个版本的 opencv,详见参考资料 How to Have Multiple Versions of OpenCV Side by Side 。 $ mkdir -p ~/libs/opencv-trunk/release/installed2.2 解压 opencv zip 压缩包 将下载的 zip 压缩包复制到 ~/opencv 目录,并解压。 $ cd ~/opencv $ unzip opencv-3.3.0.zip $ unzip opencv_contrib-3.3.0.zip 3. 配置 $ cd ~/opencv/opencv-3.3.0 $ mkdir build && cd build $ cmake -DCMAKE_INSTALL_PREFIX=/home/klchang/libs/opencv-trunk/release/installed -DCMAKE_BUILD_TYPE="Release" -DOPENCV_EXTRA_MODULES_PATH=../../opencv_contrib-3.3.0/modules ..注意, 1)这里的配置是将 opencv 3.3.0 和 opencv_contrib 3.3.0 一起编译,如果只需编译 opencv 3.3.0,把 "-DOPENCV_EXTRA_MODULES_PATH=../../opencv_contrib-3.3.0/modules" 去掉即可;2)如果需要更改安装位置或按默认位置安装,则 需要更改 "-DCMAKE_INSTALL_PREFIX="后的目录,或将此项配置删除。 4. 编译并安装 $ make -j4 $ make install注:在重新编译时,无需执行 make clean,因为这样会节省再次编译的时间,编译系统会自动利用已经编译好的中间文件,而对于编译通过的部分,无需再重新编译。 5. 问题与解决方法问题一: fatal error: unsupported/Eigen/MatrixFunctions: No such file or directory解决方法: 复制 eigen-3.3.4/unsupported 目录到 /usr/local/include,然后删除 unsupported/ 目录下,除 Eigen/ 目录外,所有的目录和文件。 $ sudo cp -r eigen-3.3.4/unsupported /usr/local/include $ cd /usr/local/include/unsupported $ shopt -s extglob $ sudo rm -rf !(Eigen)然后,重新编译 opencv 。 问题二: opencv_contrib/modules/ximgproc/src/dtfilter_cpu.inl.hpp:72:31: error: ‘traits’ has not been declared CV_Assert(guide.type() == traits::Type::value); opencv_contrib/modules/ximgproc/src/dtfilter_cpu.inl.hpp:72:52: error: expected primary-expression before ‘>’ token CV_Assert(guide.type() == traits::Type::value); opencv_contrib/modules/ximgproc/src/dtfilter_cpu.inl.hpp:72:53: error: ‘::value’ has not been declared CV_Assert(guide.type() == traits::Type::value);解决方法: 这是由于编译的 opencv 版本与 opencv_contrib 版本不一致造成的,下载相同版本的 opencv 和 opencv_contrib,然后重新编译。 问题三: /usr/bin/ld: /usr/local/lib/libgflags.a(gflags.cc.o): relocation R_X86_64_32 against `__pthread_key_create@@GLIBC_2.2.5' can not be used when making a shared object; recompile with -fPIC /usr/local/lib/libgflags.a: error adding symbols: Bad value collect2: error: ld returned 1 exit status modules/sfm/CMakeFiles/opencv_sfm.dir/build.make:319: recipe for target 'lib/libopencv_sfm.so.3.3.0' failed make[2]: *** [lib/libopencv_sfm.so.3.3.0] Error 1 CMakeFiles/Makefile2:13259: recipe for target 'modules/sfm/CMakeFiles/opencv_sfm.dir/all' failed make[1]: *** [modules/sfm/CMakeFiles/opencv_sfm.dir/all] Error 2 Makefile:147: recipe for target 'all' failed make: *** [all] Error 2解决方法: 重新配置并安装 gflags library 。将 gflags 配置为 同时编译静态库和动态库,因为 opencv_contrib 的源文件编译过程中,同时使用其静态库和动态库。 $ cd gflags-master $ mkdir build && cd build $ cmake -DBUILD_SHARED_LIBS=ON -DBUILD_STATIC_LIBS=ON .. $ make $ sudo make install然后,重新编译 opencv。 问题四: [ 98%] Building CXX object modules/sfm/CMakeFiles/opencv_sfm.dir/src/simple_pipeline.cpp.o Linking CXX shared library ../../lib/libopencv_sfm.so /usr/bin/ld: cannot find -lgflags_static collect2: error: ld returned 1 exit status modules/sfm/CMakeFiles/opencv_sfm.dir/build.make:318: recipe for target 'lib/libopencv_sfm.so.3.3.0' failed make[2]: *** [lib/libopencv_sfm.so.3.3.0] Error 1 CMakeFiles/Makefile2:13259: recipe for target 'modules/sfm/CMakeFiles/opencv_sfm.dir/all' failed make[1]: *** [modules/sfm/CMakeFiles/opencv_sfm.dir/all] Error 2 Makefile:147: recipe for target 'all' failed make: *** [all] Error 2解决方法: 同上。 6. 参考资料[1] Installation in Linuxhttp://docs.opencv.org/master/d7/d9f/tutorial_linux_install.html[2] How to Have Multiple Versions of OpenCV Side by Sidehttp://code.litomisky.com/2014/03/09/how-to-have-multiple-versions-of-the-same-library-side-by-side/ 7. 附录:本人使用源码包版本及百度网盘下载OpenCV 3.3.0 - https://pan.baidu.com/s/1bp2cq67 opencv_contrib 3.3.0 - https://pan.baidu.com/s/1nuKy4bB eigen 3.3.4 - https://pan.baidu.com/s/1kUXtMEr gflags 2.2.1 - https://pan.baidu.com/s/1miC9jTI glog 0.3.3 - https://pan.baidu.com/s/1gfktlPD ceres-solver 1.13.0 - https://pan.baidu.com/s/1c1Z9WPU |
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