树莓派3 配置qt5+opencv3.4(截止2018.5.25有效)

最新推荐文章于 2025-09-24 19:15:00 发布

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文章标签：

#qt #opencv #树莓派 #Raspberry Pi #linux

本文档详细介绍了如何在树莓派3上配置QT5和OpenCV3.4的步骤，包括更换国内源、安装依赖、下载源码、编译与安装，并给出了在QT5中配置OpenCV的教程。

之前配置好的环境给玩坏了，正好整理下opencv和qt的安装方式。

1.首先换成国内源，我用的是清华的源

sudo nano /etc/apt/sources.list

把原来的注释掉换成

deb http://mirrors.tuna.tsinghua.edu.cn/raspbian/raspbian/ stretch main non-free contrib
deb-src http://mirrors.tuna.tsinghua.edu.cn/raspbian/raspbian/ stretch main non-free contrib

ctrl+o 保存 enter确认 ctrl+x退出

然后update一下

sudo apt-get update

2.安装opencv各种依赖项

sudo apt-get install build-essential cmake git pkg-config
sudo apt-get install libjpeg8-dev 
sudo apt-get install libtiff5-dev 
sudo apt-get install libjasper-dev 
sudo apt-get install libpng12-dev
sudo apt-get install libavcodec-dev libavformat-dev libswscale-dev libv4l-dev

sudo apt-get install libgtk2.0-dev
sudo apt-get install libatlas-base-dev gfortran

sudo apt-get install libopencv-dev
sudp apt-get install libcv-dev

3.在/home/pi目录下创建opencv目录

mkdir opencv
cd opencv

4.下载opencv3.4.1源码

wget -O opencv-3.4.1.zip https://github.com/Itseez/opencv/archive/3.4.1.zip
wget -O opencv_contrib-3.4.1.zip https://github.com/Itseez/opencv_contrib/archive/3.4.1.zip
unzip opencv-3.4.1.zip
unzip opencv_contrib-3.4.1.zip

5.在opencv-3.4.1里创建release目录

cd opencv-3.4.1
mkdir release
cd release

6.生成makefile

sudo cmake -D CMAKE_BUILD_TYPE=RELEASE \
-D CMAKE_INSTALL_PREFIX=/usr/local ..

7.编译安装

sudo make
sudo make install
sudo ldconfig

8.安装qt5及qtcreator

sudo apt-get install qt5-default
sudp apt-get install qtcreator

9.配置qt5

compiler里点击Add，添加C++编译器，选择/usr/bin/里的g++，apply，kit里编译器选刚刚配置好的g++

10.qt配置opencv

.pro里添加如下代码

INCLUDEPATH += /usr/local/include \
		               /usr/local/include/opencv \
		               /usr/local/include/opencv2
LIBS += -L /usr/local/lib/ -lopencv_highgui -lopencv_core -lopencv_imgproc \
		                         -lopencv_video -lopencv_videoio -lopencv_imgcodecs -lpthread

测试代码：

Mat img;
VideoCapture camera(0);
if(!camera.isOpen())
{
	qDebug()<<"open camera error!";
	return;
}
while(1)
{
	camera >> img;
	imshow("camera",img);
	if(waitKey(30) == 27)
		break;
}

坑爹的opencv啊。。