Ubuntu20.04安装OpenCV并配置Clion工程

1 OpenCV安装

1.1 二进制安装

Ubuntu20.04支持apt二进制安装

1 2	sudo apt update sudo apt install libopencv-dev python3-opencv

查看版本号

1	python3 -c "import cv2; print(cv2.__version__)"

安装成功返回4.2.0

1.2 源码安装

1.2.1 安装编译环境和依赖

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 libopenexr-dev \
    libgstreamer-plugins-base1.0-dev libgstreamer1.0-dev

1.2.2 Clone最新的OpenCV源码

截止2022.02.27，GitHub更新到OpenCV4.5.5

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mkdir ~/opencv_build && cd ~/opencv_build
git clone https://github.com/opencv/opencv.git
git clone https://github.com/opencv/opencv_contrib.git

1.2.3 Cmake编译

1.2.3.1 创建临时目录

1 2	cd ~/opencv_build/opencv mkdir -p build && cd build

1.2.3.2 设置编译选项

cmake -D CMAKE_BUILD_TYPE=RELEASE \
    -D CMAKE_INSTALL_PREFIX=/usr/local \
    -D INSTALL_C_EXAMPLES=ON \
    -D INSTALL_PYTHON_EXAMPLES=ON \
    -D OPENCV_GENERATE_PKGCONFIG=ON \
    -D OPENCV_EXTRA_MODULES_PATH=~/opencv_build/opencv_contrib/modules \
    -D BUILD_EXAMPLES=ON ..

正常应该出现以下提示

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-- Configuring done
-- Generating done
-- Build files have been written to: /home/vagrant/opencv_build/opencv/build

1.2.3.3 开始Cmake编译

make -j8

注：j后面的数字为处理器内核数，可以使用nproc来查询

1.2.4 安装OpenCV

1	sudo make install

1.2.5 验证安装

C++

1	pkg-config --modversion opencv4

返回4.3.0

Python

1	python3 -c "import cv2; print(cv2.__version__)"

返回4.3.0-dev

2 Clion工程配置

新建工程，本文选择C++11标准

编辑CmakeList.txt

cmake_minimum_required(VERSION 3.21)
project(OpenCV_Test)

set(CMAKE_CXX_STANDARD 11)

add_executable(OpenCV_Test main.cpp)

find_package(OpenCV REQUIRED)
target_link_libraries(OpenCV_Test ${OpenCV_LIBS})

到运行调试配置中修改工作目录为 $ProjectFileDir$ （或手动输入当前main.cpp所在目录）

在工作目录下放置一个图片命名为test.jpg

编写测试程序

#include <iostream>
#include<opencv2/opencv.hpp>
using namespace cv;

int main() {
	std::cout << "Hello, World!" << std::endl;
	Mat image = imread("./test.jpg");
	imshow("OpenCV-Test",image);
	waitKey(0);
	return 0;
}