将图像放入x11的窗口中

问题描述 投票：0回答：2

我有一个.JPG格式的QR码。我使用OpenCV 3.4.4加载它。现在，我使用XCreateSimpleWindow（）创建一个新的X11窗口。然后，我将QR图像的大小调整为新窗口的大小。

[下一步，我想将调整后的QR码放入窗口中。我尝试使用XPutImage（），但没有成功，可能是因为我不知道用法。

对于使用XPutImage（），我首先使用XGetImage（）拍摄了X11窗口的图像；然后获得QR图像的像素值，然后将其分配给通过XGetImage获得的图像的像素值。

一旦有了这个XImage，我就尝试使用XPutImage将其放到窗口中。但是，它仍然显示一个黑色的窗口。终端中没有错误，但是结果不是所期望的。

对这个问题有解决方案吗？例如，如何使用示例图像更改窗口（X11）的背景并使用XPutImage（）？

代码像这样...

// Written by Ch. Tronche (http://tronche.lri.fr:8000/)
// Copyright by the author. This is unmaintained, no-warranty free software. 
// Please use freely. It is appreciated (but by no means mandatory) to
// acknowledge the author's contribution. Thank you.
// Started on Thu Jun 26 23:29:03 1997

//
// Xlib tutorial: 2nd program
// Make a window appear on the screen and draw a line inside.
// If you don't understand this program, go to
// http://tronche.lri.fr:8000/gui/x/xlib-tutorial/2nd-program-anatomy.html
//

//  compilation:
//              g++ -o go qrinX11.cpp `pkg-config --cflags --libs opencv` -lX11
//

#include <opencv2/opencv.hpp>
#include "opencv2/opencv.hpp"   // FOR OpenCV
#include <opencv2/core.hpp>     // Basic OpenCV structures (cv::Mat)
#include <opencv2/videoio.hpp>  
#include <opencv2/imgproc.hpp>
#include <opencv2/highgui.hpp>

#include <bits/stdc++.h>
#include <X11/Xlib.h> // Every Xlib program must include this
#include <assert.h>   // I include this to test return values the lazy way
#include <unistd.h>   // So we got the profile for 10 seconds
#include <X11/Xutil.h>
#include <X11/keysym.h>
#include <X11/Xlib.h> // Every Xlib program must include this
#include <X11/Xlib.h>
#include <X11/Xatom.h>
#include <X11/extensions/Xcomposite.h>
#include <X11/extensions/Xfixes.h>
#include <X11/extensions/shape.h>
#define NIL (0)       // A name for the void pointer

using namespace cv;
using namespace std;

int main()
{

      XGCValues gr_values;
      //GC gc;
      XColor    color, dummy;


      Display *dpy = XOpenDisplay(NIL);
      //assert(dpy);
      //int screen = DefaultScreen(dpy);
      // Get some colors

      int blackColor = BlackPixel(dpy, DefaultScreen(dpy));
      int whiteColor = WhitePixel(dpy, DefaultScreen(dpy));

      // Create the window

      Window w = XCreateSimpleWindow(dpy, DefaultRootWindow(dpy), 0, 0, 
                     200, 100, 0, whiteColor, blackColor);

      // We want to get MapNotify events

      XSelectInput(dpy, w, StructureNotifyMask);

      XMapWindow(dpy, w);

      // Wait for the MapNotify event

      for(;;) {
        XEvent e;
        XNextEvent(dpy, &e);
        if (e.type == MapNotify)
          break;
      }

    Window focal = w;

    XWindowAttributes gwa;
    XGetWindowAttributes(dpy, w, &gwa); 
    int wd1 = gwa.width;
    int ht1 = gwa.height;



    XImage *image = XGetImage(dpy, w, 0, 0 , wd1, ht1, AllPlanes, ZPixmap);
    unsigned long rm = image->red_mask;
    unsigned long gm = image->green_mask;
    unsigned long bm = image->blue_mask;

    Mat img(ht1, wd1, CV_8UC3);             // OpenCV Mat object is initilaized
    Mat scrap = imread("qr.jpg");//(wid, ht, CV_8UC3);      
    resize(scrap, img, img.size(), CV_INTER_AREA);

    for (int x = 0; x < wd1; x++)
        for (int y = 0; y < ht1 ; y++)
        {
            unsigned long pixel = XGetPixel(image,x,y);     
            unsigned char blue = pixel & bm;                // Applying the red/blue/green mask to obtain the indiv channel values
            unsigned char green = (pixel & gm) >> 8;
            unsigned char red = (pixel & rm) >> 16;     

            Vec3b color = img.at<Vec3b>(Point(x,y));        // Store RGB values in the OpenCV image


            //color[0] = blue;
            //color[1] = green;
            //color[2] = red;
            //img.at<Vec3b>(Point(x,y)) = color;


            pixel = color[0];//&color[1]&color[2];

        }   

        namedWindow("QR", CV_WINDOW_NORMAL);
        imshow("QR", img);

        cout << "herererere\n";
        GC gc = XCreateGC(dpy, w, 0, NIL);
        XPutImage(dpy, w, gc, image, 0, 0, wd1, ht1, wd1, ht1);

    waitKey(0);
//sleep(3);
    return 0;
}
image c++14 x11 opencv3.0
2个回答
0
投票

[好的，我自己解决了。在更改像素值并将其更新为实际图像，然后将其置于窗口背景时，犯了一个愚蠢的错误。

首先使用XPutPixel()，然后使用XPutImage()

这是最终正确的方法：

//  compilation:
//              g++ -o go qrinX11.cpp `pkg-config --cflags --libs opencv` -lX11
//

#include <opencv2/opencv.hpp>
#include "opencv2/opencv.hpp"   // FOR OpenCV
#include <opencv2/core.hpp>     // Basic OpenCV structures (cv::Mat)
#include <opencv2/videoio.hpp>  
#include <opencv2/imgproc.hpp>
#include <opencv2/highgui.hpp>

#include <bits/stdc++.h>
#include <X11/Xlib.h> // Every Xlib program must include this
#include <assert.h>   // I include this to test return values the lazy way
#include <unistd.h>   // So we got the profile for 10 seconds
#include <X11/Xutil.h>
#include <X11/keysym.h>
#include <X11/Xlib.h> // Every Xlib program must include this
#include <X11/Xlib.h>
#include <X11/Xatom.h>
#include <X11/extensions/Xcomposite.h>
#include <X11/extensions/Xfixes.h>
#include <X11/extensions/shape.h>
#define NIL (0)       // A name for the void pointer

using namespace cv;
using namespace std;

int main()
{

      XGCValues gr_values;
      //GC gc;
      XColor    color, dummy;


      Display *dpy = XOpenDisplay(NIL);
      //assert(dpy);
      //int screen = DefaultScreen(dpy);
      // Get some colors

      int blackColor = BlackPixel(dpy, DefaultScreen(dpy));
      int whiteColor = WhitePixel(dpy, DefaultScreen(dpy));

      // Create the window

      Window w = XCreateSimpleWindow(dpy, DefaultRootWindow(dpy), 0, 0, 
                     200, 100, 0, whiteColor, blackColor);

      // We want to get MapNotify events

      XSelectInput(dpy, w, StructureNotifyMask);

      XMapWindow(dpy, w);

      // Wait for the MapNotify event

      for(;;) {
        XEvent e;
        XNextEvent(dpy, &e);
        if (e.type == MapNotify)
          break;
      }

    Window focal = w;

    XWindowAttributes gwa;
    XGetWindowAttributes(dpy, w, &gwa); 
    int wd1 = gwa.width;
    int ht1 = gwa.height;



    XImage *image = XGetImage(dpy, w, 0, 0 , wd1, ht1, AllPlanes, ZPixmap);
    unsigned long rm = image->red_mask;
    unsigned long gm = image->green_mask;
    unsigned long bm = image->blue_mask;

    Mat img(ht1, wd1, CV_8UC3);     // OpenCV Mat object is initilaized
    Mat scrap = imread("qr.jpg");//(wid, ht, CV_8UC3);      
    resize(scrap, img, img.size(), CV_INTER_AREA);

    for (int x = 0; x < wd1; x++)
        for (int y = 0; y < ht1 ; y++)
        {
            unsigned long pixel = XGetPixel(image,x,y);     

            Vec3b color = img.at<Vec3b>(Point(x,y));



            pixel = 65536 * color[2] + 256 * color[1] + color[0];               

            XPutPixel(image, x, y, pixel);                  
        }   

    namedWindow("QR", CV_WINDOW_NORMAL);
    imshow("QR", img);


    GC gc = XCreateGC(dpy, w, 0, NIL);
    XPutImage(dpy, w, gc, image, 0, 0, 0, 0, wd1, ht1);

    waitKey(0);    
    return 0;
}
0
投票

简单性是关键，并且可以提高性能（在这种情况下：：）>

//.. 

// Mat img(ht1, wd1, CV_8UC3);     // OpenCV Mat object is initilaized
cv::Mat img(ht1, wd1, CV_8UC4, image->data);  // initilaize with existing mem
Mat scrap = imread("qr.jpg");//(wid, ht, CV_8UC3); 
cv::cvtColor(scrap,scrap,cv::COLOR_BGR2BGRA);
resize(scrap, img, img.size(), cv::INTER_AREA);    

// .. and we can skip the for loops 

namedWindow("QR", CV_WINDOW_NORMAL);
imshow("QR", img);

// .. etc
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