0 准备工作

0-1 如果有conda 先注销了

这是因为您的系统有某个库（例如，libz.so）的两份副本，一份来自 Anaconda，另一份来自系统。

我没有最终的解决方案，但有两种解决方法：

您可以暂时从 shell 初始化脚本中取消注释 conda init 设置，重新启动终端，然后再次构建 GMT。在构建 GMT 之前，请记住完全删除旧的构建目录。构建 GMT 后，您需要恢复 conda init 设置。

1下载安装包

1-1 opencv下载

https://github.com/opencv/opencv/releases/tag/4.5.5

1-2 扩展库下载

https://github.com/opencv/opencv_contrib/releases/tag/4.5.5

2依赖

sudo apt install build-essential cmake git pkg-config libgtk-3-dev \
    libavcodec-dev libavformat-dev libswscale-dev libv4l-dev \
    libxvidcore-dev libx264-dev libjpeg-dev libpng-dev libtiff-dev \
    gfortran openexr libatlas-base-dev python3-dev python3-numpy \
    libtbb2 libtbb-dev libdc1394-22-dev

sudo apt install libtiff-dev

sudo apt list --installed | grep tiff

3 安装选项

3-0打开cmake

camke-gui

3-1 扩展库位置

3-2 cuda 一把不选

3-3 sifi点

3-4 java 不需要

3-5 python 默认吧

3-6 集成库不要

3-7安装路径多版本共存问题

https://blog.csdn.net/xiao_qs/article/details/126650329

一般是/usr/local/lib下，比如我的opencv4.4.5，因为安装的时候如果不指定prefix路径，那么在make install 时会将所有的 .so 文件安装在 /usr/local/lib 下，所有的头文件安装在/usr/include下。

修改

3-9 特征点选择是

4 生成

成功后

5 编译

sudo make -j8

安装

sudo make install

安装位置

7 编译依赖库问题

安装位置

在OpenCV编译好后，所在目录中会生成OpenCVConfig.cmake文件，这个文件中指定了CMake要去哪里找OpenCV，其.h文件在哪里等。

这种情况适用于只有一个版本的opencv，安装在默认路径下，一般是/usr/local/lib下，比如我的opencv4.4.5，因为安装的时候如果不指定prefix路径，那么在make install 时会将所有的 .so 文件安装在 /usr/local/lib 下，所有的头文件安装在/usr/include下。

3.4.9安装在默认位置

4.5.5在手动指定位置

8测试

1系统环境没有添加opencv

2 装了两个版本

创建工程

CMakeLists修改1

CMakeLists.txt

CMAKE_PREFIX_PATH只是添加了查找路径，如果系统默认路径也有另一个版本的opencv，并不能指定opencv

# 设置 OpenCV 的路径
# opencv4.5 OpenCVConfig位置
set(OpenCV_DIR "/home/dongdong/1sorftware/1work/opencv/opencv455/install/lib/cmake/opencv4")
# opencv3.4.9 OpenCVConfig位置
# set(OpenCV_DIR "/home/dongdong/1sorftware/1work/opencv/opencv349/install/share/OpenCV")
find_package(OpenCV REQUIRED)

# 你的其他配置
include_directories(${OpenCV_INCLUDE_DIRS})
add_executable(your_executable your_source_files)
target_link_libraries(your_executable ${OpenCV_LIBS})

　终端设置2

一次性的

# opencv版本制定
# opencv3.4.9 OpenCVConfig位置
#export OpenCV_DIR=/home/dongdong/1sorftware/1work/opencv/opencv349/install/share/OpenCV
# opencv4.5 OpenCVConfig位置
export OpenCV_DIR=/home/dongdong/1sorftware/1work/opencv/opencv455/install/lib/cmake/opencv4
export LD_LIBRARY_PATH=/home/dongdong/1sorftware/1work/opencv/opencv455/install/lib:$LD_LIBRARY_PATH
export CPLUS_INCLUDE_PATH=/home/dongdong/1sorftware/1work/opencv/opencv455/install/include/opencv4:$CPLUS_INCLUDE_PATH

　　永久性设置

ctrl+h显示隐藏文件，找到.bashrc

给与执行权限

sudo chmod -R 777 .bashrc

保存在最后一行选择对应版本添加

# opencv版本制定
# opencv3.4.9 OpenCVConfig位置
export OpenCV_DIR=/home/dongdong/1sorftware/1work/opencv/opencv349/install/share/OpenCV
export LD_LIBRARY_PATH=/home/dongdong/1sorftware/1work/opencv/opencv349/install/lib:$LD_LIBRARY_PATH
export CPLUS_INCLUDE_PATH=/home/dongdong/1sorftware/1work/opencv/opencv349/install/include/opencv2:$CPLUS_INCLUDE_PATH

# opencv4.5 OpenCVConfig位置
#export OpenCV_DIR=/home/dongdong/1sorftware/1work/opencv/opencv455/install/lib/cmake/opencv4
#export LD_LIBRARY_PATH=/home/dongdong/1sorftware/1work/opencv/opencv455/install/lib:$LD_LIBRARY_PATH
#export CPLUS_INCLUDE_PATH=/home/dongdong/1sorftware/1work/opencv/opencv455/install/include/opencv4:$CPLUS_INCLUDE_PATH

使更改生效：

source ~/.bashrc

检查确认

echo $OpenCV_DIR

简单一点不需要上述（前提是系统目录没有装其他东西 ros安装会cv_briage默认装opencv4.2 从而优先于CMAKE_PREFIX_PATH去查找依赖）

cmake_minimum_required(VERSION 3.1)

#项目名字 
project(opencv_example_project)
 
#设置opencv安装路径
set(CMAKE_PREFIX_PATH "/home/r9000k/v1_software/opencv/opencv349/install")
#set(CMAKE_PREFIX_PATH "/home/r9000k/v1_software/opencv/opencv455/install") 

#自动查找库和文件
find_package(OpenCV REQUIRED)
include_directories(${OpenCV_INCLUDE_DIRS})
 
#打印消息
message(STATUS "OpenCV library status:")
message(STATUS "    config: ${OpenCV_DIR}")
message(STATUS "    version: ${OpenCV_VERSION}")
message(STATUS "    libraries: ${OpenCV_LIBS}")
message(STATUS "    include path: ${OpenCV_INCLUDE_DIRS}")
  
#生成可知性文件
add_executable(opencv_example main.cpp)
  
#可执行文件绑定库
target_link_libraries(opencv_example PRIVATE ${OpenCV_LIBS})

　　main.cpp

#include "opencv2/core.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/videoio.hpp"
#include <iostream>
  
using namespace cv;
using namespace std;
  
void drawText(Mat & image);
  
int main()
{
    cout << "Built with OpenCV " << CV_VERSION << endl;
    Mat image;
    VideoCapture capture;
    capture.open(0);
    if(capture.isOpened())
    {
        cout << "Capture is opened" << endl;
        for(;;)
        {
            capture >> image;
            if(image.empty())
                break;
            drawText(image);
            imshow("Sample", image);
            if(waitKey(10) >= 0)
                break;
        }
    }
    else
    {
        cout << "No capture" << endl;
        image = Mat::zeros(480, 640, CV_8UC1);
        drawText(image);
        imshow("Sample", image);
        waitKey(0);
    }
    return 0;
}
  
void drawText(Mat & image)
{
    putText(image, "Hello OpenCV",
            Point(20, 50),
            FONT_HERSHEY_COMPLEX, 1, // font face and scale
            Scalar(255, 255, 255), // white
            1, LINE_AA); // line thickness and type
}

传建build并编译

cmake ..

生成

make

执行

 ./opencv_example

posted on 2023-09-05 16:13 MKT-porter 阅读(373) 评论(0) 收藏举报

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