Ubuntu配置Opencv

Posted 2023-04-08 Q渡劫

1、Cmake 的编译及安装

OPENCV的编译依赖Cmake，所以首先需要安装Cmake
通过命令行的方式安装（前提是需要Ubuntu联网）

ml@ml-virtual-machine:~$ sudo apt-get install cmake
正在读取软件包列表... 完成
正在分析软件包的依赖关系树... 完成
正在读取状态信息... 完成                 
cmake 已经是最新版 (3.22.1-1ubuntu1.22.04.1)。
升级了 0 个软件包，新安装了 0 个软件包，要卸载 0 个软件包，有 300 个软件包未被升级。

版本信息

ml@ml-virtual-machine:~$  cmake --version
cmake version 3.22.1

2、安装依赖库

2.1 安装 opencv 依赖库

执行命令

ml@ml-virtual-machine:~$ sudo apt-get install build-essential libgtk2.0-dev libavcodec-dev libavformat-dev libjpeg-dev libtiff5-dev libswscale-dev pkg-config

【补充】：
显示图像 imshow()，正常显示几秒后报错：
Gtk-Message: 11:37:50.847: Failed to load module “canberra-gtk-module”
缺少库，执行以下命令安装：

ml@ml-virtual-machine:~$ sudo apt-get install libcanberra-gtk-module

2.2 安装 opencv_contrib 依赖库

执行命令

ml@ml-virtual-machine:~$sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libdc1394-22-dev git

安装时若是没有产生报错，其他提示均可忽略

3 、Opencv 的编译及安装

3.1、下载 opencv并解压到 opencv-4.2.0目录

下载官网：https://github.com/opencv/opencv

3.2、进入opencv-4.2.0目录，进行如下操作

ml@ml-virtual-machine:~/opencv-4.2.0$ mkdir build && cd build

进入已经创建的文件目录build

3.3、配置编译选项

ml@ml-virtual-machine:~/opencv-4.2.0/build$ cmake -D CMAKE_BUILD_TYPE=Release -D OPENCV_GENERATE_PKGCONFIG=YES -D CMAKE_INSTALL_PREFIX=/usr/local/opencv4 ../

成功会产生如下信息
– Build files have been written to: /home/ml/opencv-4.2.0/build

3.4、编译

ml@ml-virtual-machine:~/opencv-4.2.0/build$ make

时间较长，需要耐心等待，直到进度条达到 100%

3.5、 安装

Ubuntu编译配置Opencv

一、

1.下载opencv源代码

2.安装编译依赖库

 2.1 sudo apt-get update

 2.2 

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

3.进入到OpenCV的文件夹中，创建一个build目录，进行编译

3.1.cd opencv-3.4.10
3.2.mkdir build
3.3.cd build
3.4.cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local ..
3.5.make
3.6.sudo make install

 

4.编译完成使用

4.1 一种是配置路径

1.opencv的头文件：/usr/local /include

2.lib 文件，在编译build文件下 ：opencv-3.4.10/build/lib

二、

.pro添加opencv库文件

QT       += core gui

greaterThan(QT_MAJOR_VERSION, 4): QT += widgets

CONFIG += c++11

# The following define makes your compiler emit warnings if you use
# any Qt feature that has been marked deprecated (the exact warnings
# depend on your compiler). Please consult the documentation of the
# deprecated API in order to know how to port your code away from it.
DEFINES += QT_DEPRECATED_WARNINGS

# You can also make your code fail to compile if it uses deprecated APIs.
# In order to do so, uncomment the following line.
# You can also select to disable deprecated APIs only up to a certain version of Qt.
#DEFINES += QT_DISABLE_DEPRECATED_BEFORE=0x060000    # disables all the APIs deprecated before Qt 6.0.0

SOURCES +=     main.cpp     mainwindow.cpp

HEADERS +=     mainwindow.h

FORMS +=     mainwindow.ui

# Default rules for deployment.
qnx: target.path = /tmp/$${TARGET}/bin
else: unix:!android: target.path = /opt/$${TARGET}/bin
!isEmpty(target.path): INSTALLS += target



unix:!macx: LIBS += -L$$PWD/thirdpart/lib/  -lopencv_calib3d  -lopencv_core  -lopencv_dnn  -lopencv_features2d  -lopencv_flann  -lopencv_highgui  -lopencv_imgcodecs  -lopencv_imgproc  -lopencv_ml  -lopencv_objdetect  -lopencv_photo  -lopencv_shape  -lopencv_stitching  -lopencv_superres  -lopencv_ts  -lopencv_video  -lopencv_videoio  -lopencv_videostab 

INCLUDEPATH += $$PWD/thirdpart/include
DEPENDPATH += $$PWD/thirdpart/include

 

#include "mainwindow.h"

#include <QApplication>
#include "opencv2/opencv.hpp"
int main(int argc, char *argv[])
{
    QApplication a(argc, argv);
//    MainWindow w;
//    w.show();

    // read an image
       cv::Mat image = cv::imread("/home/likewei/Project/OpencvDemo/color3.jpg", 1);
       // create image window named "My Image"
       cv::namedWindow("My Image");
       // show the image on window
       cv::imshow("My Image", image);


    return a.exec();
}