Zeboard移植zbar

我在zedboard上跑了zxing和zbar，zbar的实时性确实要比zxing好很多，所以这里记录下zbar移植的过程，方便下次遇到时使用。

1.下载zbar的源码

http://zbar.sourceforge.net/download.html

http://zbar.sourceforge.net/api/zbar_8h.html#f1a98f95d0c058ad356acb73089ec2eb

https://blog.ayoungprogrammer.com/2013/07/tutorial-scanning-barcodes-qr-codes.html/

下载 zbar-0.10.tar.bz2

使用tar -xvf zbar-0.10.tar.bz2 解压

2.在zbar的目录下创建一个tmp的目录，交叉编译zbar

cd zbar-0.10/

mkdir tmp

touch build.sh

vim build.sh

./configure --host=arm-xilinx-linux-gnueabi --without-imagemagick --disable-video --without-qt --without-gtk --without-x --without-python --exec-prefix=$PWD/tmp/install --prefix=$PWD/tmp/install LIBS=-L$PWD/tmp/lib CPPFLAGS=-I$PWD/tmp/include \
CC=arm-xilinx-linux-gnueabi-gcc

chmod +x build.sh

./build.sh --> make --> make install

3.编写应用测试

在tmp的install目录下面将会产生include和lib的目录，里面是头文件和交叉编译出来的libzbar.a的静态库和动态库。

把交叉编译出来的动态库libzbar.so.0.2.0拷贝到zedboard的/usr/lib目录下，然后在/usr/lib目录下创建一个软连接，命令：

ln -s /usr/lib/libzbar.so.0.2.0 /usr/lib/libzbar.so.0

编写应用程序：

#include <opencv2/opencv.hpp>  
#include <iostream>  
#include <stdio.h>  
#include "zbar.h"  
  
int main(int argc, char** argv){  
      
    if(argc < 2){  
          
        std::cout << "Usage: ./test_zbar barcode.png" << std::endl;  
        return -1;  
    }  
      
    cv::Mat src = cv::imread(argv[1], 1);  
      
    cv::Mat gray;  
    if (src.channels() == 1) gray = src;  
    else cv::cvtColor(src, gray, CV_RGB2GRAY);  
    int width   = gray.cols;  
    int height  = gray.rows;  
      
    // create a reader  
    zbar::ImageScanner scanner;  
    // configure the reader  
    scanner.set_config(zbar::ZBAR_NONE, zbar::ZBAR_CFG_ENABLE, 1);  
    unsigned char *pdata = (unsigned char *)gray.data;  
    zbar::Image imageZbar(width, height, "Y800", pdata, width * height);  
    int n = scanner.scan(imageZbar);  
    if (n > 0){  
          
        // extract results  
        for (zbar::Image::SymbolIterator symbol = imageZbar.symbol_begin();  
            symbol != imageZbar.symbol_end();  
            ++symbol) {  
            // do something useful with results  
            std::string decodedFmt = symbol->get_type_name();  
            std::string symbolData = symbol->get_data();  
              
            cv::putText(src, decodedFmt, cv::Point(10, 20), cv::FONT_HERSHEY_PLAIN, 1.2, cv::Scalar(255, 0, 0), 1);  
            cv::putText(src, symbolData, cv::Point(10, 60), cv::FONT_HERSHEY_PLAIN, 1.2, cv::Scalar(255, 0, 0), 1);  
              
            std::cout << decodedFmt << std::endl;  
            std::cout << symbolData << std::endl;  
        }  
    }else{  
          
        char error_str[64];  
        sprintf(error_str, "Not got a barcode!");  
        cv::putText(src, error_str,  
                    cv::Point(10, 20),  
                    cv::FONT_HERSHEY_PLAIN, 1.2, cv::Scalar(0, 0, 255), 1);  
        std::cout << "Not got a barcode!" << std::endl;  
    }  
      
    cv::imwrite("result.png", src);  
      
    // clean up  
    imageZbar.set_data(NULL, 0);  
}

Makefile文件如下：

# vdma test
# Author: liangchunjiang
# Date:	2018.03.29

INCLUDE = -I/home/lchj/zedboard/tools/opencv-2.4.9/install/include -I/home/lchj/zedboard/Mt9p034_Project/zbar_app/include
LIBS    = -L/home/lchj/zedboard/tools/opencv-2.4.9/install/lib -L/home/lchj/zedboard/Mt9p034_Project/zbar_app/lib
LINKS   = -lopencv_core -lopencv_imgproc -lopencv_highgui -lopencv_ml -lopencv_video -lopencv_features2d -lopencv_calib3d -lopencv_objdetect -lopencv_contrib -lopencv_legacy -lopencv_flann -lzbar

PTHREAD = -lpthread -lrt

all:
	arm-xilinx-linux-gnueabi-g++ -o zbar_main main.cpp ${INCLUDE} ${LIBS} ${LINKS}

clean:
	rm -rf zbar_main

 #include "zbar.h"  
 #include "cv.h"  
 #include "highgui.h"  
 #include <iostream>  
 using namespace std;  
 using namespace zbar;  
 using namespace cv;  
 int main(void){  
      ImageScanner scanner;  
      scanner.set_config(ZBAR_NONE, ZBAR_CFG_ENABLE, 1);  
       // obtain image data  
      char file[256];  
      cin>>file;  
      Mat img = imread(file,0);  
      Mat imgout;  
      cvtColor(img,imgout,CV_GRAY2RGB);  
      int width = img.cols;  
      int height = img.rows;  
   uchar *raw = (uchar *)img.data;  
   // wrap image data  
   Image image(width, height, "Y800", raw, width * height);  
   // scan the image for barcodes  
   int n = scanner.scan(image);  
   // extract results  
   for(Image::SymbolIterator symbol = image.symbol_begin();  
     symbol != image.symbol_end();  
     ++symbol) {  
                vector<Point> vp;  
     // do something useful with results  
     cout << "decoded " << symbol->get_type_name()  
        << " symbol "" << symbol->get_data() << '"' <<" "<< endl;  
           int n = symbol->get_location_size();  
           for(int i=0;i<n;i++){  
                vp.push_back(Point(symbol->get_location_x(i),symbol->get_location_y(i))); 
           }  
           RotatedRect r = minAreaRect(vp);  
           Point2f pts[4];  
           r.points(pts);  
           for(int i=0;i<4;i++){  
                line(imgout,pts[i],pts[(i+1)%4],Scalar(255,0,0),3);  
           }  
           cout<<"Angle: "<<r.angle<<endl;  
   }  
      imshow("imgout.jpg",imgout);  
   // clean up  
   image.set_data(NULL, 0);  
       waitKey();  
 }

猜你喜欢