ubuntu16.04环境轻松安装和应用opencv4.9.0(基于源码编译)

目录

一、环境准备

1、安装cmake

2、安装依赖

3、从github上下载opencv4.9.0.zip

二、安装opencv4.9.0

1、解压4.9.0.zip

2、进入build目录编译

3、安装编译好的相关库

4、修改opencv配置文件并使其生效

5、添加PKG_CONFIG路径,并使其生效

三、opencv环境验证

1、编译示例文件

2、运行示例

3、举一反三


一、环境准备
1、安装cmake

sudo apt-get install cmake

2、安装依赖

sudo apt-get install build-essential libgtk2.0-dev libavcodec-dev libavformat-dev libjpeg-dev libswscale-dev libtiff5-dev pkg-config

3、从github上下载opencv4.9.0.zip

关于如何从github上快速下载需要的资源,在这里不详述,后面的文章进行补充😊

root@ubuntu-virtual-machine:/home/ubuntu/C++/opencv4.9.0# wget https://github.com/opencv/opencv/archive/4.9.0.zip

--2024-01-25 21:00:01-- https://github.com/opencv/opencv/archive/4.9.0.zip

正在解析主机 github.com (github.com)... 140.82.xxx.xxx

正在连接 github.com (github.com)|140.82.xxx.xxx|:443... 已连接。

已发出 HTTP 请求,正在等待回应... 302 Found

位置:https://codeload.github.com/opencv/opencv/zip/refs/tags/4.9.0 [跟随至新的 URL]

--2024-01-25 21:00:03-- https://codeload.github.com/opencv/opencv/zip/refs/tags/4.9.0

正在解析主机 codeload.github.com (codeload.github.com)... 20.205.xxx.xxx

正在连接 codeload.github.com (codeload.github.com)|20.205.xxx.xxx|:443... 已连接。

已发出 HTTP 请求,正在等待回应... 200 OK

长度: 未指定 [application/zip]

正在保存至: "4.9.0.zip"

4.9.0.zip [ <=> ] 92.98M 3.04MB/s in 35s

2024-01-26 21:00:39 (2.64 MB/s) - "4.9.0.zip" 已保存 [97492524]

这里下载时间用了35秒就将opencv4.9.0(近100M)的安装包下载好了(●'◡'●)

二、安装opencv4.9.0
1、解压4.9.0.zip

unzip 4.9.0.zip

2、进入build目录编译

(1)cmake编译

cd opencv-4.9.0

mkdir build

cmake -D CMAKE_INSTALL_PREFIX=/usr/local -D CMAKE_BUILD_TYPE=Release ..

编译结束后看到最后三行日志表示编译OK

-- Configuring done

-- Generating done

-- Build files have been written to: /home/ubuntu/C++/opencv4.9.0/opencv-4.9.0/build
(2)make编译

make -j8

......

100%\] Linking CXX executable ../../bin/opencv_test_objdetect \[100%\] Built target opencv_perf_video \[100%\] Built target opencv_test_objdetect \[100%\] Linking CXX executable ../../bin/opencv_test_core \[100%\] Built target opencv_test_core

3、安装编译好的相关库

sudo make install

执行后的日志最后几行:

-- Installing: /usr/local/bin/opencv_annotation

-- Set runtime path of "/usr/local/bin/opencv_annotation" to "/usr/local/lib"

-- Installing: /usr/local/bin/opencv_visualisation

-- Set runtime path of "/usr/local/bin/opencv_visualisation" to "/usr/local/lib"

-- Installing: /usr/local/bin/opencv_interactive-calibration

-- Set runtime path of "/usr/local/bin/opencv_interactive-calibration" to "/usr/local/lib"

-- Installing: /usr/local/bin/opencv_version

-- Set runtime path of "/usr/local/bin/opencv_version" to "/usr/local/lib"

-- Installing: /usr/local/bin/opencv_model_diagnostics

-- Set runtime path of "/usr/local/bin/opencv_model_diagnostics" to "/usr/local/lib"

4、修改opencv配置文件并使其生效

sudo vim /etc/ld.so.conf.d/opencv.conf

/usr/local/lib

sudo ldconfig

5、添加PKG_CONFIG路径,并使其生效

sudo vim /etc/bash.bashrc

PKG_CONFIG_PATH=$PKG_CONFIG_PATH:/usr/local/lib/pkgconfig

export PKG_CONFIG_PATH

source /etc/bash.bashrc

编译安装成功后,我们会发现/usr/local/lib目录中会存在一些opencv相关的so库。

关于PKG_CONFIG,在这里不详述,后续的文章进行补充😊

三、opencv环境验证
1、编译示例文件

root@ubuntu-virtual-machine:/home/ubuntu/C++/opencv4.9.0/opencv-4.9.0/samples/cpp/example_cmake# cmake .

-- The C compiler identification is GNU 5.4.0

-- The CXX compiler identification is GNU 5.4.0

-- Check for working C compiler: /usr/bin/cc

-- Check for working C compiler: /usr/bin/cc -- works

-- Detecting C compiler ABI info

-- Detecting C compiler ABI info - done

-- Detecting C compile features

-- Detecting C compile features - done

-- Check for working CXX compiler: /usr/bin/c++

-- Check for working CXX compiler: /usr/bin/c++ -- works

-- Detecting CXX compiler ABI info

-- Detecting CXX compiler ABI info - done

-- Detecting CXX compile features

-- Detecting CXX compile features - done

-- Found OpenCV: /usr/local (found version "4.9.0")

-- OpenCV library status:

-- config: /usr/local/lib/cmake/opencv4

-- version: 4.9.0

-- libraries: opencv_features2d;opencv_objdetect;opencv_photo;opencv_videoio;opencv_imgcodecs;opencv_dnn;opencv_stitching;opencv_ml;opencv_flann;opencv_highgui;opencv_imgproc;opencv_video;opencv_calib3d;opencv_core

-- include path: /usr/local/include/opencv4

-- Configuring done

-- Generating done

-- Build files have been written to: /home/ubuntu/C++/opencv4.9.0/opencv-4.9.0/samples/cpp/example_cmake

root@ubuntu-virtual-machine:/home/ubuntu/C++/opencv4.9.0/opencv-4.9.0/samples/cpp/example_cmake# make

Scanning dependencies of target opencv_example

50%\] Building CXX object CMakeFiles/opencv_example.dir/example.cpp.o \[100%\] Linking CXX executable opencv_example \[100%\] Built target opencv_example

2、运行示例

root@ubuntu-virtual-machine:/home/ubuntu/C++/opencv4.9.0/opencv-4.9.0/samples/cpp/example_cmake#./opencv_example

运行结果:

3、举一反三

在samples/cpp/test目录下,编写测试代码:

cpp 复制代码
#include <opencv2/core.hpp>
#include <opencv2/imgcodecs.hpp>
#include <opencv2/highgui.hpp>
#include <iostream>

using namespace cv;

int main()
{
    std::string image_path = samples::findFile("test.jpg");
    Mat img = imread(image_path, IMREAD_COLOR);

    if(img.empty())
    {
        std::cout << "Could not read the image: " << image_path << std::endl;
        return 1;
    }

    imshow("Display window", img);
    
    return 0;
}

我们可以看到,将一张图片显示出来了

【欢迎关注编码小哥,学习更多实用的编程知识】

相关推荐
iAm_Ike14 小时前
Go 中自定义类型与基础类型间的显式类型转换详解
jvm·数据库·python
iuvtsrt14 小时前
Golang怎么实现方法集与接口的匹配_Golang如何理解值类型和指针类型实现接口的区别【详解】
jvm·数据库·python
旦莫15 小时前
AI驱动的纯视觉自动化测试:知识库里应该积累什么知识内容
人工智能·python·测试开发·pytest·ai测试
知识领航员16 小时前
蘑兔AI音乐深度实测:功能拆解、实测表现与适用场景
java·c语言·c++·人工智能·python·算法·github
cskywit16 小时前
【CVPR2024】用Diffusion“造”遥感分割数据:SatSynth论文解读
人工智能·深度学习·计算机视觉
如何原谅奋力过但无声17 小时前
【灵神高频面试题合集06-08】反转链表、快慢指针(环形链表/重排链表)、前后指针(删除链表/链表去重)
数据结构·python·算法·leetcode·链表
deephub17 小时前
2026 RAG 选型指南:Vector、Graph、Vectorless 该怎么挑
人工智能·python·大语言模型·rag
狐狐生风19 小时前
使用 UV 创建并运行 Python 项目(完整步骤)
python·uv
噜噜噜阿鲁~19 小时前
python学习笔记 | 9.2、模块-安装第三方模块
笔记·python·学习
现代野蛮人19 小时前
【深度学习】 —— VGG-16 网络实现猫狗识别
网络·人工智能·python·深度学习·tensorflow