转——arm-linux下qt + opencv开发环境的搭建（Altera DE1 Soc）

Ferrya · 发表于 2019-4-18 09:30

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转——ARM-linux下qt + opencv开发环境的搭建（Altera DE1 Soc）

百度云盘地址：http://pan.baidu.com/s/1dDAbeYd
系统：             ubuntu-14.04-desktop-i386
ARM 系统： DE1_SoC_FB
虚拟机工具:    VMware-workstation-full-10.0.1
opencv:          2.4.7
qt:                   qt-linux-opensource-5.2.0-x86offline.run
交叉编译器： gcc-linaro-arm-linux-gnueabihf-4.7-2012.11-20121123_linux
cmake:          2.8.12.2

一.准备工作：
1.安装虚拟机的步骤无需多言，装完后记得重启；
2.          $sudo apt-get update
            $sudo apt-get upgrade
3.安装x86的工具链
            $sudo apt-get install build-essential libgl1-mesa-dev

二. 配置交叉编译器
   我云盘中提供的是gcc-linaro-arm-linux-gnueabihf-4.7-2012.11-20121123_linux.tar.bz2，版本为4.7.3
   cd到相应目录
   $tar xjf gcc-linaro-arm-linux-gnueabihf-4.7-2012.11-20121123_linux.tar.bz2
   修改PATH
   $gedit ~/.profile
   在文件末尾加上
   export PATH=/home/yulebron/gcc-linaro-arm-linux-gnueabihf-4.7-2012.11-20121123_linux/bin

PATH
   一定要根据你的安装目录修改路径（下同）
      保存退出后$source ~/.profile

三.安装QT
1.下载QT
   http://download.qt-project.org/official_releases/qt/5.2/5.2.0/ 选择qt-linux-opensource-5.2.0-x86offline.run （也可以下载我云盘中提供的，下同）
2.安装
   进入相应目录
   $chmod +x qt-linux-opensource-5.2.0-x86-offline.run
   $./qt-linux-opensource-5.2.0-x86-offline.run
一路next，安装完毕
3.构建QT的ARM库
   下载地址：http://qt-project.org/downloads 选择Qt libraries 4.8.6 for embedded Linux
      cd到相应目录，解压
      $tar -zxvf qt-everywhere-opensource-src-4.8.5.tar.gz
4.为ARM创建mkspecs
      cd到qt-everywhere-opensource-src-4.8.5/mkspecs/qws 目录下
      以下步骤根据自己的编译器名称进行修改!!!
重命名编译器linux-arm-gnueabi-g++
      $cp -r linux-arm-gnueabi-g++ linux-arm-gnueabihf-g++
      修改配置
      $cd linux-arm-gnueabihf-g++
      $gedit qmake.conf
      将所有的arm-none-linux-gnueabi用linux-arm-gnueabihf替换，如图


      安装QT库
      $source ~/.profile
      $cd ~/Downloads/qt-everywhere-opensource-src-4.8.6
      $ ./configure -prefix /usr/local/qt-4.8.6-altera-soc -release -shared -nomake examples -nomake tools -nomake docs -make demos -xplatform qws/linux-arm-gnueabihf-g++ -embedded arm -little-endian -no-pch -v
      弹出选项中选择o，随后选择yes

      $make
      $sudo make install
      注意make这一步会跑数小时
5.QT中设置ARM的开发套件
      选择Tools—Options ...


编译器路径为之前安装的编译器中的g++（注意图中是4.8.5，我们用的是4.8.6）

Kits Setup ：
      Name: Altera SoC FPGA Kit
      Device Type: Select “Generic Linux Device”
      Compiler: Select “GCC (Altera SoC)”
      Qt Version: Select “(Qt 4.8.6 (qt-4.8.6-atera-soc)”

以后的编程中如下选择即可生成ARM上可用的可执行文件，在相应文件夹中找到然后拷到ARM中即可

5.拷贝QT库到ARM上
      $ cd /usr/local
      $sudo tar -jcv -f qt-4.8.6-altera-soc.tar.bz2 qt-4.8.6-altera-soc
      将生成的的压缩文件拷贝到ARM的相应目录下解压即可

四.安装opencv的准备
1.安装Synaptic Package Manager
2.启动Synaptic
      $sudo synaptic
      依次点击Reload, Mark All Upgrades, Apply
3.安装zlib,png,jpeg
      在搜索栏中输入png，mark libpng 12-0 为安装，点击apply,如图

同上，输入jpeg, 安装jpeg62
      输入zlib, 安装zlib1g
      输入cmake, 安装cmake, cmake-qt-gui

五.安装opencv
下载opencv源码，并解压，新建一个文件夹用来包含创建编译opencv库时候的配置文件（/home/yulebron/work/opencvARM），另外在在/usr/local中创建一个opencvARM文件夹
      $cmake-gui



此时会报错，因为默认勾选了一下未安装的选项，此处，我在with中只会留下with_jpeg和with_png

修改CMAKE_INSTALL_PREFIX为你将安装的目录，即为/usr/local/opencvARM
一切ok, 点击generate
进入/home/yulebron/work/opencvARM
      $vim CMakeCache.txt
修改 CMAKE_C_FLAGS:STRING=-fPIC
      CMAKE_EXE_LINKER_FLAGS:STRING=-pthread -lrt
保存并退出
      $make
      $sudo make install
将生成的/usr/local/opencvARM/lib中的文件拷贝到ARM的相应目录中

六.QT中包含opencv库
在.pro文件中添加如下语句，由于对opencv的库不是很了解，我将所有的库都包含了进去
INCLUDEPATH += /usr/local/opencvARM/include/opencv \
            /usr/local/opencvARM/include/opencv2 \
            /usr/local/opencvARM/include

LIBS += /usr/local/opencvARM/lib/libopencv_calib3d.so \
      /usr/local/opencvARM/lib/libopencv_contrib.so \
      /usr/local/opencvARM/lib/libopencv_core.so \
      /usr/local/opencvARM/lib/libopencv_features2d.so \
      /usr/local/opencvARM/lib/libopencv_flann.so \
      /usr/local/opencvARM/lib/libopencv_gpu.so \
      /usr/local/opencvARM/lib/libopencv_highgui.so \
      /usr/local/opencvARM/lib/libopencv_imgproc.so \
      /usr/local/opencvARM/lib/libopencv_legacy.so \
      /usr/local/opencvARM/lib/libopencv_ml.so \
      /usr/local/opencvARM/lib/libopencv_nonfree.so \
      /usr/local/opencvARM/lib/libopencv_objdetect.so \
      /usr/local/opencvARM/lib/libopencv_photo.so \
      /usr/local/opencvARM/lib/libopencv_stitching.so \
      /usr/local/opencvARM/lib/libopencv_superres.so \
      /usr/local/opencvARM/lib/libopencv_video.so \
      /usr/local/opencvARM/lib/libopencv_videostab.so

至此，一切工作已经完成

七.编程测试
此处感谢CSDN博主心中唯有此愿  的博文http://blog.csdn.net/jiebaoabcabc/article/details/22935185
   整个工程见云盘build-thatsit-Altera_SoC_FPGA_Kit-Release 目录
1.新建swith.cpp, 复制上IplImage与QImage间转换用代码(这个非常有用)

#include "switch.h"
ImageCVtoQT::ImageCVtoQT(IplImage *_srcImage)
:srcImage(_srcImage)
{
assert(srcImage != NULL);
width = srcImage -> width;
height = srcImage -> height;
channel = srcImage -> nChannels;
}
ImageCVtoQT::~ImageCVtoQT()
{
cvReleaseImage(&srcImage);
}
const QImage ImageCVtoQT::getQtImage()
{
QImage desImage = QImage(width, height, QImage::Format_RGB32);
for(int i=0; i
{
for(int j=0;j
{
int r,g,b;
if(RGB_TYPE == channel)
{
b = (int)CV_IMAGE_ELEM(srcImage, uchar , i, j*3+0);
g = (int)CV_IMAGE_ELEM(srcImage, uchar , i, j*3+1);
r = (int)CV_IMAGE_ELEM(srcImage, uchar , i, j*3+2);
}
else if(GRAY_TYPE == channel)
{
b = (int)CV_IMAGE_ELEM(srcImage, uchar, i, j);
g = b;
r = b;
}
desImage.setPixel(j, i, qRgb(r, g, b));
}
}
return desImage;
}
/////////////////////////////////////////////////////////////////////
ImageQTtoCV::ImageQTtoCV(QImage _srcImage)
:srcImage(_srcImage)
{
assert(!srcImage.isNull());
width=srcImage.width();
height=srcImage.height();
}
ImageQTtoCV::~ImageQTtoCV()
{
}
IplImage *ImageQTtoCV::getCvImage()
{
IplImage *desImage=cvCreateImage(cvSize(width,height),8,3);
for(int i=0;i
{
for(int j=0;j
{
QRgb rgb=srcImage.pixel(j,i);
CV_IMAGE_ELEM(desImage,uchar,i,j*3+0)=qBlue(rgb);
CV_IMAGE_ELEM(desImage,uchar,i,j*3+1)=qGreen(rgb);
CV_IMAGE_ELEM(desImage,uchar,i,j*3+2)=qRed(rgb);
}
}
return desImage;
}
" k9 f9 ?$ F; j0 T: U6 S

2.新建switch.h头文件

#ifndef SWITCH_H
#define SWITCH_H
//#include "highgui.h"
#include "cv.h"
#include "cxcore.h"
#include
#define RGB_TYPE 3
#define GRAY_TYPE 1
class ImageCVtoQT
{
public:
ImageCVtoQT(IplImage *_srcImage);
~ImageCVtoQT();
const QImage getQtImage(void);
private:
IplImage *srcImage;
//QImage desImage;
int width;
int height;
int channel;
};
class ImageQTtoCV
{
public:
ImageQTtoCV(QImage _srcImage);
~ImageQTtoCV();
IplImage *getCvImage(void);
private:
QImage srcImage;
int width;
int height;
//int channel;
};
#endif // SWITCH_H$ K+ r/ G1 O3 c

3.在界面文件中拉入一个lable，将其展开与窗体同大小
4.在dialog的构造函数中进行图像的导入和转换，过程是QImage导入图片-> 原始IplImage->opencv对原始IplImage进行处理->处理后IplImage->QImage->使用QImage借助qt窗体上显示图片
5.dialog.cpp

#include "dialog.h"
#include "ui_dialog.h"
#include "switch.h"
#include "QtGui"
Dialog:ialog(QWidget *parent) :
QDialog(parent),
ui(new Ui:ialog)
{
ui->setupUi(this);
//声明IplImage指针
IplImage *pImg = NULL;
QImage *qImg = new QImage;
//载入图片
if(!(qImg->load("/home/project/sao22.bmp"))) // 我的开发板支持bmp格式，小心路径
{
return;
}
//switch
ImageQTtoCV qtc(*qImg);
pImg = qtc.getCvImage();
if(!pImg)
return;
IplImage *pGrayImg = NULL;
pGrayImg = cvCreateImage(cvGetSize(pImg), IPL_DEPTH_8U, 1);
cvCvtColor(pImg, pGrayImg, CV_BGR2GRAY);
ImageCVtoQT ctq(pGrayImg);
*qImg = ctq.getQtImage();
if(!qImg)
return;
ui->label->setPixmap(QPixmap::fromImage(*qImg));
}
Dialog::~Dialog()
{
delete ui;
}( m! o7 k: P, v; k9 M/ P9 D

从一切完成，从Release目录中拷贝相应的elf文件和即可在开发板上运行，miao..........

fanichicl · 发表于 2019-4-18 17:25

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转——arm-linux下qt + opencv开发环境的搭建（Altera DE1 Soc）

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