Task2

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

using namespace std;
using namespace cv;
int main() {

    Mat img =imread("assets/arrow1.png",IMREAD_GRAYSCALE);        // Read the img

    // Threshold the img to obtain a binary img
    Mat binaryimg;     // Creating an empty mat variable
    threshold(img, binaryimg, 128, 255, THRESH_BINARY);       //convert grayscale img to binary img

    imshow("Thresholded img", binaryimg);        //just for checking the img

    // Find contours in the binary img
    vector<vector<Point>> contours;        // declares a variable named 'contours' of type 'vector<vector<Point'
    findContours(binaryimg, contours, RETR_EXTERNAL, CHAIN_APPROX_SIMPLE);       // is used to find and extract contours from a binary img

    // Find the contour with the largest area
    double maxArea = 0;
    int maxAreaContourIndex = -1;

    // after executing for loop, maximum area of contour will store in maxArea variable, and index of that contour will store in maxAreaContourIndex
    for (int i = 0; i < contours.size(); i++) {
        double area = contourArea(contours[i]);    // contourArea() this func is used to calculate area of the i contour
        if (area > maxArea) {
            maxArea = area;
            maxAreaContourIndex = i;
        }
    }

    // Check if a contour was found
    if (maxAreaContourIndex != -1) {
        // Get the bounding rectangle of the contour
        Rect boundingRect = cv::boundingRect(contours[maxAreaContourIndex]);

        // Determine the center point of the bounding rectangle
        Point center(boundingRect.x + boundingRect.width / 2, boundingRect.y + boundingRect.height / 2);

        // Define the arrow direction thresholds
        int arrowWidth = boundingRect.width;
        int arrowHeight = boundingRect.height;

        // Determine the arrow pointing direction based on its dimensions and center point
        if (arrowWidth > arrowHeight) {
            if (center.x < img.cols / 2)
                cout << "Right" << endl;
            else
                cout << "Left" << endl;
        } else {
            if (center.y < img.rows)
                cout << "Down" << endl;
            else
                cout << "Up" << endl;
        }
    } else {
        // No arrow contour found
        cout << "No arrow found" << endl;
    }

    return 0;
}