Démonstration openCV

main.cpp

#include <cstdlib>
#include <iostream>
#include <opencv2/opencv.hpp>

using namespace std;
using namespace cv;

int main(int argc, char** argv) {
    Size2i imageSize(200, 200);
    Scalar red(0, 0, 255), blue(255, 0, 0);

    //Red image creation
    Mat redImg(imageSize, CV_8UC3);
    redImg.setTo(red);
    imshow("Red image", redImg);
    imwrite("Red image.png", redImg);

    //Red image creation
    Mat blueImg(imageSize, CV_8UC3);
    blueImg.setTo(blue);
    imshow("Blue image", blueImg);
    imwrite("Blue image.png", blueImg);

    //Red image with blue rectangle
    Mat rectImg(imageSize, CV_8UC3);
    rectImg.setTo(red);
    rectangle(rectImg, Rect(50, 50, 100, 60), blue, CV_FILLED);
    imshow("Rectangle image", rectImg);
    imwrite("Rectangle image.png", rectImg);

    //Vector definition
    Vec3f V1(1.5, 2.1, 3), V2(0, 0, 1), V3(0.5, 0.5, 0.5);
    cout << "V1=" << V1 << endl;
    cout << "V2=" << V2 << endl;
    cout << "V3=" << V3 << endl;

    cout << "V1.V2=" << V1.dot(V2) << endl; //Should be 3
    cout << "V2.V3=" << V2.dot(V3) << endl; //Should be 0.5

    cout << "V1^V2=" << V1.cross(V2) << endl; //Should be (2.1, -1.5, 0)
    cout << "V2^V3=" << V2.cross(V3) << endl; //Should be (-0.5, 0.5, 0)

    Matx33f M(1, 0.5, 0.75,
            0, 2, 0,
            3, 0, 0);
    cout << "M=" << M << endl;
    cout << "M*V1=" << M * V1 << endl; //Should be (4.8, 4.2, 4.5)
    cout << "M*V2=" << M * V2 << endl; //Should be (0.75, 0, 0)

    Matx33f M2(1, 1, 1,
            3, 0, 5,
            0, 2.8, 1.4);
    Matx33f M3 = M*M2;
    cout << "M2=" << M2 << endl;
    /* Should be 
     [2.5, 3.1, 4.55;
      6, 0, 10;
      3, 3, 3]  */
    cout << "M3=" << M3 << endl;

    waitKey(0);
    return EXIT_SUCCESS;
}