系统：Ubuntu16.04 LST
ros版本：kinetic
3.1 通过脚本下载并编译
压缩包为: opencv-3.4.1.tar.gz ,opencv_contrib-3.4.1.tar发发gz
本教程使用脚本一次性直接下载并编译安装
新建如下.sh脚本 install_opencv.sh:
#!/bin/bash
echo "** Install requirement"
sudo apt-get update
sudo apt-get install -y build-essential
sudo apt-get install -y cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev
sudo apt-get install -y python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng12-dev libtiff5-dev libjasper-dev libdc1394-22-dev
sudo apt-get install -y libgstreamer0.10-dev libgstreamer-plugins-base0.10-dev libgstreamer1.0-dev libgstreamer-plugins-base1.0-dev gstreamer-plugins-base-devel libgphoto2-dev
sudo apt-get install -y libavresample-dev gtk+-3.0
sudo apt-get update
echo "** Download opencv-3.4.1"
curl -L https://github.com/opencv/opencv/archive/3.4.1.tar.gz -o opencv-3.4.1.tar.gz
curl -L https://github.com/opencv/opencv_contrib/archive/3.4.1.tar.gz -o opencv_contrib-3.4.1.tar.gz
tar -zxvf opencv-3.4.1.tar.gz
tar -zxvf opencv_contrib-3.4.1.tar.gz
echo "** Building..."
cd opencv-3.4.1/
mkdir build
cd build
cmake -D OPENCV_EXTRA_MODULES_PATH=../../opencv_contrib-3.4.1/modules -D WITH_GSTREAMER=ON -D WITH_LIBV4L=ON -D BUILD_opencv_python2=ON -D BUILD_opencv_python3=ON -D BUILD_TESTS=OFF -D BUILD_PERF_TESTS=OFF -D BUILD_EXAMPLES=OFF -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D BUILD_opencv_xfeatures2d=OFF ..
make -j8
sudo make install
sudo apt-get install -y python-opencv python3-opencv
echo "** Install opencv-3.4.1 successfully"
echo "** Bye :)"
运行 install_opencv.sh ,安装在home目录下
sudo sh install_opencv.sh
3.2 测试
本教程使用脚本一次性直接下载并编译安装
新建如下.sh脚本 install_ceres.sh:
#!/bin/bash
sudo apt-get install -y cmake libgoogle-glog-dev libatlas-base-dev libeigen3-dev libsuitesparse-dev
sudo add-apt-repository ppa:bzindovic/suitesparse-bugfix-1319687
sudo apt-get update && sudo apt-get install -y libsuitesparse-dev
source ~/.bashrc
workdir=$PWD
if test ! -d ceres-solver ; then git clone https://github.com/ceres-solver/ceres-solver ; fi
cd ceres-solver
if test ! -d ceres-bin ; then mkdir ceres-bin ; fi
cd ceres-bin
if ! cmake .. ; then echo "ceres cmake init fail" ; exit 1 ; fi
if ! make -j4 ; then echo "ceres make fail" ; exit 1 ; fi
if ! sudo make install ; then echo "ceres make install fail" ; exit 1 ; fi
cd $workdir
运行 install_ceres.sh ,安装在home目录下
sudo sh install_ceres.sh
注意，如果安装失败有可能是因为eigen3库的问题，请查看log自行分析
如果是eigen3的问题（Could not find a configuration file for package “Eigen3” that is compatible with requested version），重新安装eigen3就可以了
git clone https://github.com/eigenteam/eigen-git-mirror
cd eigen-git-mirror
mkdir build
cd build
cmake ..
sudo make install
#after installation, the header file will be in /usr/local/include/eigen3/
然后，运行以下命令：
sudo cp -r /usr/local/include/eigen3/Eigen /usr/local/include
创建名称为catkin_ws 的工作空间,路径为 : ~/slam/catkin_ws/src
cd ~ #进入home目录
mkdir slam # 创建名为slam的文件夹
cd slam
mkdir -p /catkin_ws/src #新建catkin_ws/src 目录
cd catkin_ws/src
catkin_init_workspace
cd .. #退到 catkin_ws 路径下
catkin_make #编译
配置环境变量
echo "source ~/slam/catkin_ws/devel/setup.bash" >> ~/.bashrc
source ~/.bashrc #在终端内重新加载 .bashrc文件
ros package 路径包含有刚刚创建的工作空间目录
下载并编译相机SDK6.1 下载
进入~/slam 下载小觅相机SDK
git clone https://github.com/slightech/MYNT-EYE-S-SDK.git
6.2 编译
cd MYNT-EYE-S-SDK # 进入SDK文件夹
make init
make install
make samples
cd wrappers/ros
catkin_make
6.3 配置环境变量
echo "source ~/slam/MYNT-EYE-S-SDK/wrappers/ros/devel/setup.bash" >> ~/.bashrc
source ~/.bashrc #在终端内重新加载 .bashrc文件
6.4 测试
插上相机运行如下命令，测试
roslaunch mynt_eye_ros_wrapper display.launch
7.1 下载
进入~/slam/catkin_ws/src 目录
cd ~/slam/catkin_ws/src # 进入SDK文件夹
git clone https://github.com/HKUST-Aerial-Robotics/VINS-Fusion.git
7.2 编译
编译 (在前面创建的工作空间之下)
cd .. # 退到 ~/slam/catkin_ws 目录
catkin_make # 在 ~/slam/catkin_ws 下编译
error: ‘face::EigenFaceRecognizer’ has not been declared
model_ = face::EigenFaceRecognizer::create(config.model_num_components,
^~~~~~~~~~~~~~~~~~~
/home/star/rikirobot/catkin_ws/src/opencv_apps/src/nodelet/face_recognition_nodelet.cpp:476:28: error: ‘face::FisherFaceRecognizer’ has not been declared
model_ = face::FisherFaceRecognizer::create(config.model_num_components,
^~~~~~~~~~~~~~~~~~~~
/home/star/rikirobot/catkin_ws/src/opencv_apps/src/nodelet/face_recognition_nodelet.cpp:484:48: error: ‘create’ is not a member of ‘cv::face::LBPHFaceRecognizer’
model_ = face::LBPHFaceRecognizer::create(config.lbph_radius,
^~~~~~
opencv_apps/CMakeFiles/opencv_apps.dir/build.make:494: recipe for target 'opencv_apps/CMakeFiles/opencv_apps.dir/src/nodelet/face_recognition_nodelet.cpp.o' failed
make[2]: *** [opencv_apps/CMakeFiles/opencv_apps.dir/src/nodelet/face_recognition_nodelet.cpp.o] Error 1
CMakeFiles/Makefile2:11736: recipe for target 'opencv_apps/CMakeFiles/opencv_apps.dir/all' failed
make[1]: *** [opencv_apps/CMakeFiles/opencv_apps.dir/all] Error 2
Makefile:140: recipe for target 'all' failed
make: *** [all] Error 2
Invoking "make -j1" failed
可以参考下面博客解决：
https://blog.csdn.net/qq_41586768/article/details/107541917
https://zhuanlan.zhihu.com/p/158824514
大概思路是改用1.14.0版本，ps，该版本的ceres不需要重新安装上面的eigen3.
7.3 配置环境变量
echo "source ~/slam/catkin_ws/devel/setup.bash" >> ~/.bashrc # 写入 source 命令到.bashrc中
source ~/.bashrc #在终端内重新加载 .bashrc文件
