OpenCVGUI

An OpenCV Graphical User interface


Get Started Take the Tutorial

OpenCVGUI

Do you like OpenCV Highui but it’s not enough and don’t want waste your time in a new UI SDK? This is your solution! OpenCVGUI is a new graphical user inteface for OpenCV with different widgets and tools to provide developers a new and more powerful user interface with 3D and 2D plotting support, advanced forms, with small dependencies and OpenGL based.

Why OpenCVGUI: more Powerful and exactly so simple than OpenCV Highui.

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Dependencies

Build

git submodule update --init --recursive
mkdir build
cd build
cmake ..
make
sudo make install

Features

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Short snippets

Init the GUI

    OpenCVGUI::init();

Create a new window

    OGUICVWindow* window= OpenCVGUI::namedWindow("Wellcome to OpenCVGUI Example 2");

Show image in window

    Mat image= imread("./lena.jpg");
    window->imshow("image title key like highui imshow", &image);

Basic Example

#include "OGUI.h"
#include "OGUISlider.h"
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>

using namespace OpenCVGUI;
using namespace cv;

VideoCapture cap;
Mat frame, gray;
double thr=125;
OGUICVWindow *window;

void cv_process() {
    while(app_is_running) {
        cap >> frame;
        window->imshow("camera", &frame);
        Mat output;
        cvtColor( frame, gray, COLOR_RGB2GRAY );
        threshold( gray, output, (int)thr, 255, CV_THRESH_BINARY);
        window->imshow("threshold", &output);
    }
}

void on_change_slider_threshold(double value){
    thr= value;
}

int main( int argc, const char* argv[] )
{
    // Init GUI
    OpenCVGUI::init();

    // Create our window
    window= OpenCVGUI::namedWindow("Wellcome to OpenCVGUI Example 2");

    // Create the Forms we need and add to window
    OGUISlider slider("Threshold", 0, 255, 125);
    slider.setCallBack(on_change_slider_threshold);
    window->addFormWidget(&slider);

    // Start video capture
    cap.open(0);
    if(cap.isOpened()){
        cap >> frame;
        // show image
        window->imshow("camera", &frame);
    }else{
        return 0;
    }

    // Convert frame, threshodl and show
    cvtColor( frame, gray, COLOR_RGB2GRAY );
    Mat output;
    threshold( gray, output, 125, 255, CV_THRESH_BINARY);
    window->imshow("threshold", &output);

    // Start the Comptuer vision process
    OpenCVGUI::app_run(cv_process);

}

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