SOL9 2.0 Samples

1 Screenshot

2 Source code

/*
 * VideoImageBlurring.cpp 
 * Copyright (c) 2015 Antillia.com TOSHIYUKI ARAI. ALL RIGHTS RESERVED. 
 */


//2017/07/25
//This is a simple example to capture videoDevice, and to display the capturued frames 
//to original imageview and blurred image view based on cv::boxFiter.

#define _CONSOLE_

#include <sol/ModuleFileName.h>
#include <sol/DropFiles.h>
#include <sol/LabeledTrackBar.h>
#include <sol/FileDialog.h>
#include <sol/opencv/OpenCVVideoApplication.h>
#include <sol/opencv/OpenCVVideoCaptureView.h>
#include <sol/opencv/OpenCVNamedWindow.h>

namespace SOL {

class MainView :public OpenCVVideoCaptureView {

private:
  ////////////////////////////////////////////////////////////////////////////////////////
  //Inner classes start.
  class VideoImageView :public OpenCVNamedWindow {
  private:
    cv::Mat originalImage;
  public:  
    void display()
    {
      show(originalImage);
    }
    
  public:
    VideoImageView(View* parent, const char* name, Args& args)
    :OpenCVNamedWindow(parent, name, args)
    {
    }

    void setImage(cv::Mat& image)
    {
      originalImage = image;
    }
  };
  
  class BlurredImageView :public OpenCVNamedWindow {
  private:
    cv::Mat originalImage;
    cv::Mat blurredImage;
    
  public:  
    void display()
    {
      show(blurredImage);
    }
   
  public:
    BlurredImageView(View* parent, const char* name, Args& args)
    :OpenCVNamedWindow(parent, name, args)
    {
    }
    
    void setImage(cv::Mat& image)
    {
      originalImage = image;
    }
   
    void blur(int ksize)
    {
      //void boxFilter(InputArray src, OutputArray dst, int ddepth, Size ksize, 
      //      Point anchor=Point(-1,-1), 
      //      bool normalize=true, 
      //      int borderType=BORDER_DEFAULT )
      cv::Mat newImage = cv::Mat::zeros(originalImage.size(), originalImage.type() );
      cv::boxFilter(originalImage, newImage, 
                    originalImage.type(), 
                    cv::Size(ksize, ksize), 
                    cv::Point(-1, -1), 
                    true, 
                    BORDER_DEFAULT); 
      blurredImage = newImage;
    }
  };
  //Inner classes end.
  ////////////////////////////////////////////////////////////////////////////////////////
      
  SmartPtr<VideoImageView>     originalImage;
  SmartPtr<BlurredImageView>   blurredImage;

  int                          ksize;
  SmartPtr<LabeledTrackBar>    ksizeTrackBar;
  
  //Horizontal Scroll event by TrackBars
  void trackBarScrolled(Action& action)
  {
    ksize = ksizeTrackBar->getPosition();
    ksize = (ksize/2)*2 +1;    
  }
  
  void resize(int w, int h)
  {
    if (originalImage && blurredImage &&  ksizeTrackBar) {
      originalImage   -> reshape(2,           2,  (w-160)/2-1,    h-4);
      blurredImage    -> reshape((w-160)/2+1, 2,  (w-160)/2-1,    h-4);
      ksizeTrackBar   -> reshape(w-155 + 10, 10, 140, 60);      
    }
  }

  void confirm(Action& action)
  {
    int rc = MessageBox(NULL, "Are you sure to close this window?", "Confirmation", 
                MB_OKCANCEL|MB_ICONEXCLAMATION);
    if (rc == IDOK) {
      exit(action);
    }
  }
  
public:
  MainView(OpenCVApplication& applet, const char* name, Args& args)
  :OpenCVVideoCaptureView(applet, name, args)
  {
    try {
      Args ar;
      originalImage = new VideoImageView(this, "cvwindow1", ar); 
      
      ar.reset();
      blurredImage = new BlurredImageView(this, "cvwindow2", ar); 

      ksize = 10;

      ar.reset();
      ar.set(XmNminimum, 0);
      ar.set(XmNmaximum, 31);
      ar.set(XmNposition, 10);  
      ksizeTrackBar = new LabeledTrackBar(this, "KernelSize", ar);
      ksizeTrackBar -> addCallback(XmNtrackBarScrollCallback, this,
        (Callback)&MainView::trackBarScrolled, NULL);
      
      addCallback(XmNmenuCallback, IDM_EXIT, this,
          (Callback)&MainView::confirm, NULL);
         
    } catch (Exception& ex) {
      caught(ex);
    }
  }

  ~MainView()
  {
  }
 
  //This method will be called from a OpenCVTimerThread::run.
  virtual void render()
  {
    cv::Mat frame;
    if (readVideoFrame(frame)) {
      if (!frame.empty() && originalImage && blurredImage) {
        originalImage -> setImage(frame);
        originalImage -> display();
        blurredImage  -> setImage(frame);
        blurredImage  -> blur(ksize);
        blurredImage  -> display();
      }
    }
  }
};
}


void main(int argc, char** argv) 
{
  try {
    ModuleFileName module(argv[0]);
    
    const char*  name = module.getAppName();
  
    OpenCVVideoApplication applet(name, argc, argv);

    Args args;
    args.set(XmNwidth,     900);
    args.set(XmNheight,    380);
    args.set(XmNvideoDeviceIndex, 0);
    args.set(XmNfps,       20);
    args.set(XmNcaptureAutoStart, true);
    MainView view(applet, name, args);
    view.realize();

    applet.run(view);
    
  } catch (SOL::Exception& ex) {
    caught(ex);
  }
}